{ "id": 181810, "title": "Helpful resources", "url": "/competitions/rsna-str-pulmonary-embolism-detection/discussion/181810", "author_name": "Rashmi Margani", "post_date": "2020-09-10T08:25:39.234000", "votes": 19, "comment_count": 4, "views": 0, "content": "

Github code and paper, a resource blog

\n

https://ml4health.github.io/2019/pdf/286_ml4h_preprint.pdf

\n

https://github.com/hust-linyi/A-Two-Stage-Convolutional-Neural-Network-for-Pulmonary-Embolism-Detection-From-CTPA-Images

\n

https://www.nature.com/articles/s41746-020-0266-y
\nhttps://github.com/marshuang80/PENet and its blog: https://jdunnmon.github.io/penet-final.pdf

\n

https://github.com/longkun-uestc/P_Mask_RCNN

\n

Project from Stanford: https://github.com/Janamith/CS230-Project and paper: http://cs230.stanford.edu/projects_winter_2020/reports/32622744.pdf

", "messages": [ { "id": 1005055, "postDate": "2020-09-10T08:25:39.233Z", "content": "

Github code and paper, a resource blog

\n

https://ml4health.github.io/2019/pdf/286_ml4h_preprint.pdf

\n

https://github.com/hust-linyi/A-Two-Stage-Convolutional-Neural-Network-for-Pulmonary-Embolism-Detection-From-CTPA-Images

\n

https://www.nature.com/articles/s41746-020-0266-y
\nhttps://github.com/marshuang80/PENet and its blog: https://jdunnmon.github.io/penet-final.pdf

\n

https://github.com/longkun-uestc/P_Mask_RCNN

\n

Project from Stanford: https://github.com/Janamith/CS230-Project and paper: http://cs230.stanford.edu/projects_winter_2020/reports/32622744.pdf

", "rawMarkdown": "Github code and paper, a resource blog\n\nhttps://ml4health.github.io/2019/pdf/286_ml4h_preprint.pdf\n\nhttps://github.com/hust-linyi/A-Two-Stage-Convolutional-Neural-Network-for-Pulmonary-Embolism-Detection-From-CTPA-Images\n\nhttps://www.nature.com/articles/s41746-020-0266-y\nhttps://github.com/marshuang80/PENet and its blog: https://jdunnmon.github.io/penet-final.pdf\n\nhttps://github.com/longkun-uestc/P_Mask_RCNN\n\nProject from Stanford: https://github.com/Janamith/CS230-Project and paper: http://cs230.stanford.edu/projects_winter_2020/reports/32622744.pdf\n\n\n\n\n", "votes": 19 }, { "id": 1005871, "postDate": "2020-09-10T20:33:23.547Z", "content": "

For participants in this competition, TrainingData.io is giving away free product credits:

\n
    \n
  1. Annotate data for your ML-Models with Fast Superpixel segmentation with Brush & eraser (https://youtu.be/InCnDOlyjjg)
    2. \n
  2. Active learning for NVIDIA Clara: build your models 10X faster
    \nhttps://www.trainingdata.io
    \ncontact: info@trainingdata.io
    3. \n
", "rawMarkdown": "For participants in this competition, TrainingData.io is giving away free product credits:\n1. Annotate data for your ML-Models with Fast Superpixel segmentation with Brush & eraser (https://youtu.be/InCnDOlyjjg)\n2. Active learning for NVIDIA Clara: build your models 10X faster\nhttps://www.trainingdata.io \ncontact: info@trainingdata.io" }, { "id": 1005636, "postDate": "2020-09-10T16:07:05.723Z", "rawMarkdown": "", "isDeleted": true }, { "id": 1974025, "postDate": "2022-10-06T03:23:20.257Z", "content": "

@validmodel Thanks for sharing

", "rawMarkdown": "@validmodel Thanks for sharing" }, { "id": 1005102, "postDate": "2020-09-10T08:53:12.617Z", "content": "

@validmodel thanks for sharing:)

", "rawMarkdown": "@validmodel thanks for sharing:)" } ], "comments": [ { "id": 1005871, "author_name": "Gaurav Gupta", "author_url": "", "post_date": "2020-09-10T20:33:23.547000", "content": "

For participants in this competition, TrainingData.io is giving away free product credits:

\n
    \n
  1. Annotate data for your ML-Models with Fast Superpixel segmentation with Brush & eraser (https://youtu.be/InCnDOlyjjg)
    2. \n
  2. Active learning for NVIDIA Clara: build your models 10X faster
    \nhttps://www.trainingdata.io
    \ncontact: info@trainingdata.io
    3. \n
", "votes": 0, "replies": [] }, { "id": 1005636, "author_name": "", "author_url": "", "post_date": "2020-09-10T16:07:05.723000", "content": "", "votes": 0, "replies": [] }, { "id": 1974025, "author_name": "Niramay Kachhadiya", "author_url": "", "post_date": "2022-10-06T03:23:20.257000", "content": "

@validmodel Thanks for sharing

", "votes": 0, "replies": [] }, { "id": 1005102, "author_name": "Ninja Coding", "author_url": "", "post_date": "2020-09-10T08:53:12.617000", "content": "

@validmodel thanks for sharing:)

", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "1005055": "Github code and paper, a resource blog\n\nhttps://ml4health.github.io/2019/pdf/286_ml4h_preprint.pdf\n\nhttps://github.com/hust-linyi/A-Two-Stage-Convolutional-Neural-Network-for-Pulmonary-Embolism-Detection-From-CTPA-Images\n\nhttps://www.nature.com/articles/s41746-020-0266-y\nhttps://github.com/marshuang80/PENet and its blog: https://jdunnmon.github.io/penet-final.pdf\n\nhttps://github.com/longkun-uestc/P_Mask_RCNN\n\nProject from Stanford: https://github.com/Janamith/CS230-Project and paper: http://cs230.stanford.edu/projects_winter_2020/reports/32622744.pdf\n\n\n\n\n", "1005871": "For participants in this competition, TrainingData.io is giving away free product credits:\n1. Annotate data for your ML-Models with Fast Superpixel segmentation with Brush & eraser (https://youtu.be/InCnDOlyjjg)\n2. Active learning for NVIDIA Clara: build your models 10X faster\nhttps://www.trainingdata.io \ncontact: info@trainingdata.io", "1005636": "", "1974025": "@validmodel Thanks for sharing", "1005102": "@validmodel thanks for sharing:)" } }