{
  "id": 475834,
  "title": "Relevant Competitions Compilation and Resources: Signal Processing, Time Series Analysis, Image Classification etc.,",
  "url": "/competitions/hms-harmful-brain-activity-classification/discussion/475834",
  "author_name": "faithk7u",
  "post_date": "2024-02-10T04:51:01.446000",
  "votes": 0,
  "comment_count": 0,
  "views": 0,
  "content": "<p>I've compiled a list of competitions relevant to this one, such as signal processing competitions that utilize image classification methods. This compilation includes links to top solutions and extracts keywords from ideas mentioned in their respective discussions. While not all may be directly relevant to this specific competition, hope is that they might inspire some new ideas.</p>\n<p>The list of relevant competitions is as follows:</p>\n<table>\n<thead>\n<tr>\n<th>Competition Name</th>\n<th>Link</th>\n<th>Tag</th>\n<th>Top Solutions</th>\n<th>Top Solutions Keywords</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><strong>SETI Breakthrough Listen - E.T. Signal Search</strong></td>\n<td><a href=\"https://www.kaggle.com/competitions/seti-breakthrough-listen/overview\" target=\"_blank\">Link</a></td>\n<td>Signal processing</td>\n<td><a href=\"https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266385\" target=\"_blank\">1st place solution</a><br><br><a href=\"https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266397\" target=\"_blank\">2nd place solution</a><br><br><a href=\"https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266403\" target=\"_blank\">3rd place solution</a></td>\n<td>Mixup augmentation, ON-channels, Data augmentation, Data cleaning, Signal-to-noise ratio, Enlarging image resolution, TTA (test time augmentation), Pseudo-labels, Soft targets, NoisyStudent, StochasticDepth, Dropout, StratifiedKFold, EfficientNet, Triplet Attention, GeM Pooling, EfficientNet-B4, Focal Loss, MADGRAD optimizer</td>\n</tr>\n<tr>\n<td><strong>G2Net Gravitational Wave Detection</strong></td>\n<td><a href=\"https://www.kaggle.com/competitions/g2net-gravitational-wave-detection\" target=\"_blank\">Link</a></td>\n<td>Signal Processing</td>\n<td><a href=\"https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/275476\" target=\"_blank\">1st place solution</a><br><br><a href=\"https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/275341\" target=\"_blank\">2nd place solution</a><br><br><a href=\"https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/275617\" target=\"_blank\">3rd place solution</a></td>\n<td>Conv1D, SGD, Conv1D with stacked channel, conv-bn-silu block, Adam, CosineAnnealingWarmRestarts, BCE, Bandpass filters, Gaussian noise addition, Flipping wave amplitude, Pseudo-labeling, InceptionV3, CQT transformation, CWT transformations</td>\n</tr>\n<tr>\n<td><strong>Child Mind Institute - Detect Sleep States</strong></td>\n<td><a href=\"https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/overview\" target=\"_blank\">Link</a></td>\n<td>Time Series Analysis</td>\n<td><a href=\"https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459715\" target=\"_blank\">1st place solution</a><br><br><a href=\"https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459627\" target=\"_blank\">2nd place solution</a><br><br><a href=\"https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459637\" target=\"_blank\">4th place solution</a></td>\n<td>Post processing, Downsample, Upsample, U-Net</td>\n</tr>\n<tr>\n<td><strong>SenNet + HOA - Hacking the Human Vasculature in 3D</strong></td>\n<td><a href=\"https://www.kaggle.com/competitions/blood-vessel-segmentation/overview\" target=\"_blank\">Link</a></td>\n<td>Image Segmentation</td>\n<td><a href=\"https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475522\" target=\"_blank\">1st place solution</a><br><br><a href=\"https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475074\" target=\"_blank\">3rd place solution</a><br><br><a href=\"https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475052\" target=\"_blank\">4th place solution</a></td>\n<td>Boundary DoU Loss, TTA, Cosine LR scheduler, torch.compile(), Convnext, Ablation experiments, MaxViT, SeResNext</td>\n</tr>\n<tr>\n<td><strong>HuBMAP - Hacking the Kidney</strong></td>\n<td><a href=\"https://www.kaggle.com/competitions/hubmap-kidney-segmentation/overview\" target=\"_blank\">Link</a></td>\n<td>Image</td>\n<td><a href=\"https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238198\" target=\"_blank\">1st place solution</a><br><br><a href=\"https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238013\" target=\"_blank\">3rd place solution</a><br><br><a href=\"https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238024\" target=\"_blank\">4th place solution</a></td>\n<td>Pseudo-labels, Balanced tile sampling, Image augmentation, External dataset</td>\n</tr>\n<tr>\n<td><strong>UBC Ovarian Cancer Subtype Classification and Outlier Detection (UBC-OCEAN)</strong></td>\n<td><a href=\"https://www.kaggle.com/competitions/UBC-OCEAN\" target=\"_blank\">Link</a></td>\n<td>Image Classification</td>\n<td><a href=\"https://www.kaggle.com/c/UBC-OCEAN/discussion/465410\" target=\"_blank\">2nd place solution</a><br><br><a href=\"https://www.kaggle.com/c/UBC-OCEAN/discussion/465527\" target=\"_blank\">3rd place solution</a><br><br><a href=\"https://www.kaggle.com/c/UBC-OCEAN/discussion/465811\" target=\"_blank\">4th place solution</a></td>\n<td>Cropping, Feature extracting, ABMIL, DSMIL, TransMIL, CLAM Model, Convnext, Hornet</td>\n</tr>\n<tr>\n<td><strong>RSNA 2022 Cervical Spine Fracture Detection</strong></td>\n<td><a href=\"https://www.kaggle.com/competitions/rsna-2022-cervical-spine-fracture-detection/overview\" target=\"_blank\">Link</a></td>\n<td>Image</td>\n<td><a href=\"https://www.kaggle.com/c/rsna-2022-cervical-spine-fracture-detection/discussion/362787\" target=\"_blank\">1st place solution</a><br><br><a href=\"https://www.kaggle.com/c/rsna-2022-cervical-spine-fracture-detection/discussion/365115\" target=\"_blank\">2nd place solution</a><br><br><a href=\"https://www.kaggle.com/c/rsna-2022-cervical-spine-fracture-detection/discussion/362643\" target=\"_blank\">3rd place solution</a></td>\n<td>CNN, BiGRU, Attention, Model ensembling</td>\n</tr>\n</tbody>\n</table>",
  "messages": [
    {
      "id": 2645230,
      "postDate": "2024-02-10T04:51:01.447Z",
      "content": "<p>I've compiled a list of competitions relevant to this one, such as signal processing competitions that utilize image classification methods. This compilation includes links to top solutions and extracts keywords from ideas mentioned in their respective discussions. While not all may be directly relevant to this specific competition, hope is that they might inspire some new ideas.</p>\n<p>The list of relevant competitions is as follows:</p>\n<table>\n<thead>\n<tr>\n<th>Competition Name</th>\n<th>Link</th>\n<th>Tag</th>\n<th>Top Solutions</th>\n<th>Top Solutions Keywords</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><strong>SETI Breakthrough Listen - E.T. Signal Search</strong></td>\n<td><a href=\"https://www.kaggle.com/competitions/seti-breakthrough-listen/overview\" target=\"_blank\">Link</a></td>\n<td>Signal processing</td>\n<td><a href=\"https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266385\" target=\"_blank\">1st place solution</a><br><br><a href=\"https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266397\" target=\"_blank\">2nd place solution</a><br><br><a href=\"https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266403\" target=\"_blank\">3rd place solution</a></td>\n<td>Mixup augmentation, ON-channels, Data augmentation, Data cleaning, Signal-to-noise ratio, Enlarging image resolution, TTA (test time augmentation), Pseudo-labels, Soft targets, NoisyStudent, StochasticDepth, Dropout, StratifiedKFold, EfficientNet, Triplet Attention, GeM Pooling, EfficientNet-B4, Focal Loss, MADGRAD optimizer</td>\n</tr>\n<tr>\n<td><strong>G2Net Gravitational Wave Detection</strong></td>\n<td><a href=\"https://www.kaggle.com/competitions/g2net-gravitational-wave-detection\" target=\"_blank\">Link</a></td>\n<td>Signal Processing</td>\n<td><a href=\"https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/275476\" target=\"_blank\">1st place solution</a><br><br><a href=\"https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/275341\" target=\"_blank\">2nd place solution</a><br><br><a href=\"https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/275617\" target=\"_blank\">3rd place solution</a></td>\n<td>Conv1D, SGD, Conv1D with stacked channel, conv-bn-silu block, Adam, CosineAnnealingWarmRestarts, BCE, Bandpass filters, Gaussian noise addition, Flipping wave amplitude, Pseudo-labeling, InceptionV3, CQT transformation, CWT transformations</td>\n</tr>\n<tr>\n<td><strong>Child Mind Institute - Detect Sleep States</strong></td>\n<td><a href=\"https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/overview\" target=\"_blank\">Link</a></td>\n<td>Time Series Analysis</td>\n<td><a href=\"https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459715\" target=\"_blank\">1st place solution</a><br><br><a href=\"https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459627\" target=\"_blank\">2nd place solution</a><br><br><a href=\"https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459637\" target=\"_blank\">4th place solution</a></td>\n<td>Post processing, Downsample, Upsample, U-Net</td>\n</tr>\n<tr>\n<td><strong>SenNet + HOA - Hacking the Human Vasculature in 3D</strong></td>\n<td><a href=\"https://www.kaggle.com/competitions/blood-vessel-segmentation/overview\" target=\"_blank\">Link</a></td>\n<td>Image Segmentation</td>\n<td><a href=\"https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475522\" target=\"_blank\">1st place solution</a><br><br><a href=\"https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475074\" target=\"_blank\">3rd place solution</a><br><br><a href=\"https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475052\" target=\"_blank\">4th place solution</a></td>\n<td>Boundary DoU Loss, TTA, Cosine LR scheduler, torch.compile(), Convnext, Ablation experiments, MaxViT, SeResNext</td>\n</tr>\n<tr>\n<td><strong>HuBMAP - Hacking the Kidney</strong></td>\n<td><a href=\"https://www.kaggle.com/competitions/hubmap-kidney-segmentation/overview\" target=\"_blank\">Link</a></td>\n<td>Image</td>\n<td><a href=\"https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238198\" target=\"_blank\">1st place solution</a><br><br><a href=\"https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238013\" target=\"_blank\">3rd place solution</a><br><br><a href=\"https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238024\" target=\"_blank\">4th place solution</a></td>\n<td>Pseudo-labels, Balanced tile sampling, Image augmentation, External dataset</td>\n</tr>\n<tr>\n<td><strong>UBC Ovarian Cancer Subtype Classification and Outlier Detection (UBC-OCEAN)</strong></td>\n<td><a href=\"https://www.kaggle.com/competitions/UBC-OCEAN\" target=\"_blank\">Link</a></td>\n<td>Image Classification</td>\n<td><a href=\"https://www.kaggle.com/c/UBC-OCEAN/discussion/465410\" target=\"_blank\">2nd place solution</a><br><br><a href=\"https://www.kaggle.com/c/UBC-OCEAN/discussion/465527\" target=\"_blank\">3rd place solution</a><br><br><a href=\"https://www.kaggle.com/c/UBC-OCEAN/discussion/465811\" target=\"_blank\">4th place solution</a></td>\n<td>Cropping, Feature extracting, ABMIL, DSMIL, TransMIL, CLAM Model, Convnext, Hornet</td>\n</tr>\n<tr>\n<td><strong>RSNA 2022 Cervical Spine Fracture Detection</strong></td>\n<td><a href=\"https://www.kaggle.com/competitions/rsna-2022-cervical-spine-fracture-detection/overview\" target=\"_blank\">Link</a></td>\n<td>Image</td>\n<td><a href=\"https://www.kaggle.com/c/rsna-2022-cervical-spine-fracture-detection/discussion/362787\" target=\"_blank\">1st place solution</a><br><br><a href=\"https://www.kaggle.com/c/rsna-2022-cervical-spine-fracture-detection/discussion/365115\" target=\"_blank\">2nd place solution</a><br><br><a href=\"https://www.kaggle.com/c/rsna-2022-cervical-spine-fracture-detection/discussion/362643\" target=\"_blank\">3rd place solution</a></td>\n<td>CNN, BiGRU, Attention, Model ensembling</td>\n</tr>\n</tbody>\n</table>",
      "rawMarkdown": "I've compiled a list of competitions relevant to this one, such as signal processing competitions that utilize image classification methods. This compilation includes links to top solutions and extracts keywords from ideas mentioned in their respective discussions. While not all may be directly relevant to this specific competition, hope is that they might inspire some new ideas.\n\nThe list of relevant competitions is as follows:\n\n| Competition Name | Link | Tag | Top Solutions | Top Solutions Keywords |\n| --- | --- | --- | --- | --- |\n| **SETI Breakthrough Listen - E.T. Signal Search** | [Link](https://www.kaggle.com/competitions/seti-breakthrough-listen/overview) | Signal processing | [1st place solution](https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266385)<br><br>[2nd place solution](https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266397)<br><br>[3rd place solution](https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266403) | Mixup augmentation, ON-channels, Data augmentation, Data cleaning, Signal-to-noise ratio, Enlarging image resolution, TTA (test time augmentation), Pseudo-labels, Soft targets, NoisyStudent, StochasticDepth, Dropout, StratifiedKFold, EfficientNet, Triplet Attention, GeM Pooling, EfficientNet-B4, Focal Loss, MADGRAD optimizer |\n| **G2Net Gravitational Wave Detection** | [Link](https://www.kaggle.com/competitions/g2net-gravitational-wave-detection) | Signal Processing | [1st place solution](https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/275476)<br><br>[2nd place solution](https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/275341)<br><br>[3rd place solution](https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/275617) | Conv1D, SGD, Conv1D with stacked channel, conv-bn-silu block, Adam, CosineAnnealingWarmRestarts, BCE, Bandpass filters, Gaussian noise addition, Flipping wave amplitude, Pseudo-labeling, InceptionV3, CQT transformation, CWT transformations |\n| **Child Mind Institute - Detect Sleep States** | [Link](https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/overview) | Time Series Analysis | [1st place solution](https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459715)<br><br>[2nd place solution](https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459627)<br><br>[4th place solution](https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459637) | Post processing, Downsample, Upsample, U-Net |\n| **SenNet + HOA - Hacking the Human Vasculature in 3D** | [Link](https://www.kaggle.com/competitions/blood-vessel-segmentation/overview) | Image Segmentation | [1st place solution](https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475522)<br><br>[3rd place solution](https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475074)<br><br>[4th place solution](https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475052) | Boundary DoU Loss, TTA, Cosine LR scheduler, torch.compile(), Convnext, Ablation experiments, MaxViT, SeResNext |\n| **HuBMAP - Hacking the Kidney** | [Link](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/overview) | Image | [1st place solution](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238198)<br><br>[3rd place solution](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238013)<br><br>[4th place solution](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238024) | Pseudo-labels, Balanced tile sampling, Image augmentation, External dataset |\n| **UBC Ovarian Cancer Subtype Classification and Outlier Detection (UBC-OCEAN)** | [Link](https://www.kaggle.com/competitions/UBC-OCEAN) | Image Classification | [2nd place solution](https://www.kaggle.com/c/UBC-OCEAN/discussion/465410)<br><br>[3rd place solution](https://www.kaggle.com/c/UBC-OCEAN/discussion/465527)<br><br>[4th place solution](https://www.kaggle.com/c/UBC-OCEAN/discussion/465811) | Cropping, Feature extracting, ABMIL, DSMIL, TransMIL, CLAM Model, Convnext, Hornet |\n| **RSNA 2022 Cervical Spine Fracture Detection** | [Link](https://www.kaggle.com/competitions/rsna-2022-cervical-spine-fracture-detection/overview) | Image | [1st place solution](https://www.kaggle.com/c/rsna-2022-cervical-spine-fracture-detection/discussion/362787)<br><br>[2nd place solution](https://www.kaggle.com/c/rsna-2022-cervical-spine-fracture-detection/discussion/365115)<br><br>[3rd place solution](https://www.kaggle.com/c/rsna-2022-cervical-spine-fracture-detection/discussion/362643) | CNN, BiGRU, Attention, Model ensembling |\n"
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2645230": "I've compiled a list of competitions relevant to this one, such as signal processing competitions that utilize image classification methods. This compilation includes links to top solutions and extracts keywords from ideas mentioned in their respective discussions. While not all may be directly relevant to this specific competition, hope is that they might inspire some new ideas.\n\nThe list of relevant competitions is as follows:\n\n| Competition Name | Link | Tag | Top Solutions | Top Solutions Keywords |\n| --- | --- | --- | --- | --- |\n| **SETI Breakthrough Listen - E.T. Signal Search** | [Link](https://www.kaggle.com/competitions/seti-breakthrough-listen/overview) | Signal processing | [1st place solution](https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266385)<br><br>[2nd place solution](https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266397)<br><br>[3rd place solution](https://www.kaggle.com/c/seti-breakthrough-listen/discussion/266403) | Mixup augmentation, ON-channels, Data augmentation, Data cleaning, Signal-to-noise ratio, Enlarging image resolution, TTA (test time augmentation), Pseudo-labels, Soft targets, NoisyStudent, StochasticDepth, Dropout, StratifiedKFold, EfficientNet, Triplet Attention, GeM Pooling, EfficientNet-B4, Focal Loss, MADGRAD optimizer |\n| **G2Net Gravitational Wave Detection** | [Link](https://www.kaggle.com/competitions/g2net-gravitational-wave-detection) | Signal Processing | [1st place solution](https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/275476)<br><br>[2nd place solution](https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/275341)<br><br>[3rd place solution](https://www.kaggle.com/c/g2net-gravitational-wave-detection/discussion/275617) | Conv1D, SGD, Conv1D with stacked channel, conv-bn-silu block, Adam, CosineAnnealingWarmRestarts, BCE, Bandpass filters, Gaussian noise addition, Flipping wave amplitude, Pseudo-labeling, InceptionV3, CQT transformation, CWT transformations |\n| **Child Mind Institute - Detect Sleep States** | [Link](https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/overview) | Time Series Analysis | [1st place solution](https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459715)<br><br>[2nd place solution](https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459627)<br><br>[4th place solution](https://www.kaggle.com/c/child-mind-institute-detect-sleep-states/discussion/459637) | Post processing, Downsample, Upsample, U-Net |\n| **SenNet + HOA - Hacking the Human Vasculature in 3D** | [Link](https://www.kaggle.com/competitions/blood-vessel-segmentation/overview) | Image Segmentation | [1st place solution](https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475522)<br><br>[3rd place solution](https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475074)<br><br>[4th place solution](https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475052) | Boundary DoU Loss, TTA, Cosine LR scheduler, torch.compile(), Convnext, Ablation experiments, MaxViT, SeResNext |\n| **HuBMAP - Hacking the Kidney** | [Link](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/overview) | Image | [1st place solution](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238198)<br><br>[3rd place solution](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238013)<br><br>[4th place solution](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238024) | Pseudo-labels, Balanced tile sampling, Image augmentation, External dataset |\n| **UBC Ovarian Cancer Subtype Classification and Outlier Detection (UBC-OCEAN)** | [Link](https://www.kaggle.com/competitions/UBC-OCEAN) | Image Classification | [2nd place solution](https://www.kaggle.com/c/UBC-OCEAN/discussion/465410)<br><br>[3rd place solution](https://www.kaggle.com/c/UBC-OCEAN/discussion/465527)<br><br>[4th place solution](https://www.kaggle.com/c/UBC-OCEAN/discussion/465811) | Cropping, Feature extracting, ABMIL, DSMIL, TransMIL, CLAM Model, Convnext, Hornet |\n| **RSNA 2022 Cervical Spine Fracture Detection** | [Link](https://www.kaggle.com/competitions/rsna-2022-cervical-spine-fracture-detection/overview) | Image | [1st place solution](https://www.kaggle.com/c/rsna-2022-cervical-spine-fracture-detection/discussion/362787)<br><br>[2nd place solution](https://www.kaggle.com/c/rsna-2022-cervical-spine-fracture-detection/discussion/365115)<br><br>[3rd place solution](https://www.kaggle.com/c/rsna-2022-cervical-spine-fracture-detection/discussion/362643) | CNN, BiGRU, Attention, Model ensembling |\n"
  }
}