If you are looking for starter code for the segmentation models, checkout the three starter notebooks I have created so far:
\n\nI will be creating notebooks for other segmentation models as well like Mask-RCNN, Fast Convolutional Networks. Let me know which one would you like to see.
\nThank you!
", "messages": [ { "id": "2516941", "postDate": "11/08/2023 05:07:34", "content": "If you are looking for starter code for the segmentation models, checkout the three starter notebooks I have created so far:
\n\nI will be creating notebooks for other segmentation models as well like Mask-RCNN, Fast Convolutional Networks. Let me know which one would you like to see.
\nThank you!
", "rawMarkdown": "If you are looking for starter code for the segmentation models, checkout the three starter notebooks I have created so far:\n\n1. [UNet Model using TensorFlow](https://www.kaggle.com/code/salmankhaliq22/sennet-hoa-unet-tensorflow-starter?kernelSessionId=149798446)\n2. [Attention UNet using TensorFlow](https://www.kaggle.com/code/salmankhaliq22/sennet-hoa-attention-unet-tensorflow-starter?kernelSessionId=149800883)\n3. [SegNet using TensorFlow](https://www.kaggle.com/code/salmankhaliq22/sennet-hoa-segnet-tensorflow-starter?kernelSessionId=149798522)\n\nI will be creating notebooks for other segmentation models as well like Mask-RCNN, Fast Convolutional Networks. Let me know which one would you like to see.\n\nThank you!", "votes": null }, { "id": "2537523", "postDate": "11/25/2023 08:44:34", "content": "I like to see the Fast CNN segmentation models!
", "rawMarkdown": "I like to see the Fast CNN segmentation models!", "votes": null }, { "id": "2537640", "postDate": "11/25/2023 11:27:32", "content": "the kaggle dataset paper is out
\nDeep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging
\nhttps://arxiv.org/pdf/2311.13319.pdf
it might be good to implement baseline methods in the paper
", "rawMarkdown": "the kaggle dataset paper is out\nDeep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging\nhttps://arxiv.org/pdf/2311.13319.pdf\n\nit might be good to implement baseline methods in the paper", "votes": null } ], "comments": [ { "id": 2537523, "author_name": "dinowun", "author_url": "", "post_date": "11/25/2023 08:44:34", "content": "I like to see the Fast CNN segmentation models!
", "votes": null, "replies": [] }, { "id": 2537640, "author_name": "hengck23", "author_url": "", "post_date": "11/25/2023 11:27:32", "content": "the kaggle dataset paper is out
\nDeep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging
\nhttps://arxiv.org/pdf/2311.13319.pdf
it might be good to implement baseline methods in the paper
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "2516941": "If you are looking for starter code for the segmentation models, checkout the three starter notebooks I have created so far:\n\n1. [UNet Model using TensorFlow](https://www.kaggle.com/code/salmankhaliq22/sennet-hoa-unet-tensorflow-starter?kernelSessionId=149798446)\n2. [Attention UNet using TensorFlow](https://www.kaggle.com/code/salmankhaliq22/sennet-hoa-attention-unet-tensorflow-starter?kernelSessionId=149800883)\n3. [SegNet using TensorFlow](https://www.kaggle.com/code/salmankhaliq22/sennet-hoa-segnet-tensorflow-starter?kernelSessionId=149798522)\n\nI will be creating notebooks for other segmentation models as well like Mask-RCNN, Fast Convolutional Networks. Let me know which one would you like to see.\n\nThank you!", "2537523": "I like to see the Fast CNN segmentation models!", "2537640": "the kaggle dataset paper is out\nDeep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging\nhttps://arxiv.org/pdf/2311.13319.pdf\n\nit might be good to implement baseline methods in the paper" }, "source": "meta" }