{
  "id": 547364,
  "title": "Papers to read about tomograph segmentation",
  "url": "/competitions/czii-cryo-et-object-identification/discussion/547364",
  "author_name": "",
  "post_date": "2024-11-21T06:07:48.947106800Z",
  "votes": 7,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Here are few pappers where people have worked on tomograph segmentation please give and upvote if you like the post</p>\n<p>Tomogram segementation in the Industrial X rays <br>\n<a href=\"https://www.sciencedirect.com/science/article/abs/pii/S2214860420308320\" target=\"_blank\">https://www.sciencedirect.com/science/article/abs/pii/S2214860420308320</a></p>\n<p>Application of machine learning in CT images and X-rays of COVID-19 pneumonia<br>\n<a href=\"https://journals.lww.com/md-journal/fulltext/2021/09100/Application_of_machine_learning_in_CT_images_and.3.aspx?context=LatestArticles\" target=\"_blank\">https://journals.lww.com/md-journal/fulltext/2021/09100/Application_of_machine_learning_in_CT_images_and.3.aspx?context=LatestArticles</a></p>\n<p>Automated Segmentation of Left Ventricular Myocardium on Cardiac Computed Tomography Using Deep Learning<br>\n<a href=\"https://pmc.ncbi.nlm.nih.gov/articles/PMC7231613/\" target=\"_blank\">https://pmc.ncbi.nlm.nih.gov/articles/PMC7231613/</a></p>\n<p>Unraveling the deep learning gearbox in optical coherence tomography image segmentation towards explainable artificial intelligence<br>\n<a href=\"https://www.nature.com/articles/s42003-021-01697-y\" target=\"_blank\">https://www.nature.com/articles/s42003-021-01697-y</a></p>\n<p>Deep Learning-Based Segmentation of Cryo-Electron Tomograms<br>\n<a href=\"https://cryoem.wisc.edu/wp-content/uploads/sites/341/2024/09/Heebner_JOVE2022.pdf\" target=\"_blank\">https://cryoem.wisc.edu/wp-content/uploads/sites/341/2024/09/Heebner_JOVE2022.pdf</a></p>\n<p>Dataset for tomogram segmenation<br>\n<a href=\"https://www.nature.com/articles/s41597-020-00715-8\" target=\"_blank\">https://www.nature.com/articles/s41597-020-00715-8</a></p>\n<p>Kidney tumor segmentation <br>\n<a href=\"https://www.sciencedirect.com/science/article/abs/pii/S0957417421015797\" target=\"_blank\">https://www.sciencedirect.com/science/article/abs/pii/S0957417421015797</a></p>\n<p>Layered deep learning for automatic mandibular segmentation in cone-beam computed tomography<br>\n<a href=\"https://www.sciencedirect.com/science/article/abs/pii/S0300571221002098\" target=\"_blank\">https://www.sciencedirect.com/science/article/abs/pii/S0300571221002098</a></p>\n<p>Deep convolutional neural network-based automated segmentation of the maxillofacial complex from cone-beam computed tomography:A validation study<br>\n<a href=\"https://www.sciencedirect.com/science/article/abs/pii/S0300571222002949\" target=\"_blank\">https://www.sciencedirect.com/science/article/abs/pii/S0300571222002949</a></p>\n<p>A novel deep learning system for multi-class tooth segmentation and classification on cone beam computed tomography. A validation study<br>\n<a href=\"https://www.omfsimpath.be/onewebmedia/Shaheen_A%20novel%20deep%20learning%20system%20for%20multi-class%20tooth%20segmentation%20and%20classification%20on%20cone%20beam%20comp\" target=\"_blank\">https://www.omfsimpath.be/onewebmedia/Shaheen_A%20novel%20deep%20learning%20system%20for%20multi-class%20tooth%20segmentation%20and%20classification%20on%20cone%20beam%20comp</a></p>\n<p>Modified U-Net for liver cancer segmentation from computed tomography images with a new class balancing method</p>\n<p><a href=\"https://link.springer.com/content/pdf/10.1186/s42490-021-00050-y.pdf\" target=\"_blank\">https://link.springer.com/content/pdf/10.1186/s42490-021-00050-y.pdf</a></p>",
  "messages": [
    {
      "id": "3051293",
      "postDate": "11/21/2024 06:07:48",
      "content": "<p>Here are few pappers where people have worked on tomograph segmentation please give and upvote if you like the post</p>\n<p>Tomogram segementation in the Industrial X rays <br>\n<a href=\"https://www.sciencedirect.com/science/article/abs/pii/S2214860420308320\" target=\"_blank\">https://www.sciencedirect.com/science/article/abs/pii/S2214860420308320</a></p>\n<p>Application of machine learning in CT images and X-rays of COVID-19 pneumonia<br>\n<a href=\"https://journals.lww.com/md-journal/fulltext/2021/09100/Application_of_machine_learning_in_CT_images_and.3.aspx?context=LatestArticles\" target=\"_blank\">https://journals.lww.com/md-journal/fulltext/2021/09100/Application_of_machine_learning_in_CT_images_and.3.aspx?context=LatestArticles</a></p>\n<p>Automated Segmentation of Left Ventricular Myocardium on Cardiac Computed Tomography Using Deep Learning<br>\n<a href=\"https://pmc.ncbi.nlm.nih.gov/articles/PMC7231613/\" target=\"_blank\">https://pmc.ncbi.nlm.nih.gov/articles/PMC7231613/</a></p>\n<p>Unraveling the deep learning gearbox in optical coherence tomography image segmentation towards explainable artificial intelligence<br>\n<a href=\"https://www.nature.com/articles/s42003-021-01697-y\" target=\"_blank\">https://www.nature.com/articles/s42003-021-01697-y</a></p>\n<p>Deep Learning-Based Segmentation of Cryo-Electron Tomograms<br>\n<a href=\"https://cryoem.wisc.edu/wp-content/uploads/sites/341/2024/09/Heebner_JOVE2022.pdf\" target=\"_blank\">https://cryoem.wisc.edu/wp-content/uploads/sites/341/2024/09/Heebner_JOVE2022.pdf</a></p>\n<p>Dataset for tomogram segmenation<br>\n<a href=\"https://www.nature.com/articles/s41597-020-00715-8\" target=\"_blank\">https://www.nature.com/articles/s41597-020-00715-8</a></p>\n<p>Kidney tumor segmentation <br>\n<a href=\"https://www.sciencedirect.com/science/article/abs/pii/S0957417421015797\" target=\"_blank\">https://www.sciencedirect.com/science/article/abs/pii/S0957417421015797</a></p>\n<p>Layered deep learning for automatic mandibular segmentation in cone-beam computed tomography<br>\n<a href=\"https://www.sciencedirect.com/science/article/abs/pii/S0300571221002098\" target=\"_blank\">https://www.sciencedirect.com/science/article/abs/pii/S0300571221002098</a></p>\n<p>Deep convolutional neural network-based automated segmentation of the maxillofacial complex from cone-beam computed tomography:A validation study<br>\n<a href=\"https://www.sciencedirect.com/science/article/abs/pii/S0300571222002949\" target=\"_blank\">https://www.sciencedirect.com/science/article/abs/pii/S0300571222002949</a></p>\n<p>A novel deep learning system for multi-class tooth segmentation and classification on cone beam computed tomography. A validation study<br>\n<a href=\"https://www.omfsimpath.be/onewebmedia/Shaheen_A%20novel%20deep%20learning%20system%20for%20multi-class%20tooth%20segmentation%20and%20classification%20on%20cone%20beam%20comp\" target=\"_blank\">https://www.omfsimpath.be/onewebmedia/Shaheen_A%20novel%20deep%20learning%20system%20for%20multi-class%20tooth%20segmentation%20and%20classification%20on%20cone%20beam%20comp</a></p>\n<p>Modified U-Net for liver cancer segmentation from computed tomography images with a new class balancing method</p>\n<p><a href=\"https://link.springer.com/content/pdf/10.1186/s42490-021-00050-y.pdf\" target=\"_blank\">https://link.springer.com/content/pdf/10.1186/s42490-021-00050-y.pdf</a></p>",
      "rawMarkdown": "Here are few pappers where people have worked on tomograph segmentation please give and upvote if you like the post\n\n\nTomogram segementation in the Industrial X rays \nhttps://www.sciencedirect.com/science/article/abs/pii/S2214860420308320\n\nApplication of machine learning in CT images and X-rays of COVID-19 pneumonia\nhttps://journals.lww.com/md-journal/fulltext/2021/09100/Application_of_machine_learning_in_CT_images_and.3.aspx?context=LatestArticles\n\nAutomated Segmentation of Left Ventricular Myocardium on Cardiac Computed Tomography Using Deep Learning\nhttps://pmc.ncbi.nlm.nih.gov/articles/PMC7231613/\n\nUnraveling the deep learning gearbox in optical coherence tomography image segmentation towards explainable artificial intelligence\nhttps://www.nature.com/articles/s42003-021-01697-y\n\nDeep Learning-Based Segmentation of Cryo-Electron Tomograms\nhttps://cryoem.wisc.edu/wp-content/uploads/sites/341/2024/09/Heebner_JOVE2022.pdf\n\nDataset for tomogram segmenation\nhttps://www.nature.com/articles/s41597-020-00715-8\n\n\nKidney tumor segmentation \nhttps://www.sciencedirect.com/science/article/abs/pii/S0957417421015797\n\nLayered deep learning for automatic mandibular segmentation in cone-beam computed tomography\nhttps://www.sciencedirect.com/science/article/abs/pii/S0300571221002098\n\n\nDeep convolutional neural network-based automated segmentation of the maxillofacial complex from cone-beam computed tomography:A validation study\nhttps://www.sciencedirect.com/science/article/abs/pii/S0300571222002949\n\nA novel deep learning system for multi-class tooth segmentation and classification on cone beam computed tomography. A validation study\nhttps://www.omfsimpath.be/onewebmedia/Shaheen_A%20novel%20deep%20learning%20system%20for%20multi-class%20tooth%20segmentation%20and%20classification%20on%20cone%20beam%20comp\n\nModified U-Net for liver cancer segmentation from computed tomography images with a new class balancing method\n\nhttps://link.springer.com/content/pdf/10.1186/s42490-021-00050-y.pdf",
      "votes": null
    },
    {
      "id": "3051313",
      "postDate": "11/21/2024 06:53:42",
      "content": "<p>Thank you </p>\n<p>Any tips on how to replicate a paper?</p>",
      "rawMarkdown": "Thank you \n\nAny tips on how to replicate a paper?",
      "votes": null
    },
    {
      "id": "3051487",
      "postDate": "11/21/2024 10:51:10",
      "content": "<p>Thanks man I will have a look! </p>",
      "rawMarkdown": "Thanks man I will have a look!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3051313,
      "author_name": "vigneshwar472",
      "author_url": "",
      "post_date": "11/21/2024 06:53:42",
      "content": "<p>Thank you </p>\n<p>Any tips on how to replicate a paper?</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 3051487,
      "author_name": "ignasialemany",
      "author_url": "",
      "post_date": "11/21/2024 10:51:10",
      "content": "<p>Thanks man I will have a look! </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "3051293": "Here are few pappers where people have worked on tomograph segmentation please give and upvote if you like the post\n\n\nTomogram segementation in the Industrial X rays \nhttps://www.sciencedirect.com/science/article/abs/pii/S2214860420308320\n\nApplication of machine learning in CT images and X-rays of COVID-19 pneumonia\nhttps://journals.lww.com/md-journal/fulltext/2021/09100/Application_of_machine_learning_in_CT_images_and.3.aspx?context=LatestArticles\n\nAutomated Segmentation of Left Ventricular Myocardium on Cardiac Computed Tomography Using Deep Learning\nhttps://pmc.ncbi.nlm.nih.gov/articles/PMC7231613/\n\nUnraveling the deep learning gearbox in optical coherence tomography image segmentation towards explainable artificial intelligence\nhttps://www.nature.com/articles/s42003-021-01697-y\n\nDeep Learning-Based Segmentation of Cryo-Electron Tomograms\nhttps://cryoem.wisc.edu/wp-content/uploads/sites/341/2024/09/Heebner_JOVE2022.pdf\n\nDataset for tomogram segmenation\nhttps://www.nature.com/articles/s41597-020-00715-8\n\n\nKidney tumor segmentation \nhttps://www.sciencedirect.com/science/article/abs/pii/S0957417421015797\n\nLayered deep learning for automatic mandibular segmentation in cone-beam computed tomography\nhttps://www.sciencedirect.com/science/article/abs/pii/S0300571221002098\n\n\nDeep convolutional neural network-based automated segmentation of the maxillofacial complex from cone-beam computed tomography:A validation study\nhttps://www.sciencedirect.com/science/article/abs/pii/S0300571222002949\n\nA novel deep learning system for multi-class tooth segmentation and classification on cone beam computed tomography. A validation study\nhttps://www.omfsimpath.be/onewebmedia/Shaheen_A%20novel%20deep%20learning%20system%20for%20multi-class%20tooth%20segmentation%20and%20classification%20on%20cone%20beam%20comp\n\nModified U-Net for liver cancer segmentation from computed tomography images with a new class balancing method\n\nhttps://link.springer.com/content/pdf/10.1186/s42490-021-00050-y.pdf",
    "3051313": "Thank you \n\nAny tips on how to replicate a paper?",
    "3051487": "Thanks man I will have a look!"
  },
  "source": "meta"
}