Awesome-Medical-Imaging

Curated List of Medical Imaging

Table of Contents

• Papers
• Collaborators
• Competitions
• Lectures
• Tutorials
• X-ray, 2d images
• Unet
• MRI, CT, 3d images
• Related Awesome Lists
• Remarks

Papers

• LUNA 16 Challenge Review

• Deep Learning for Medical Image Segmentation

• Brain Tumor Segmentation with Deep Nerual Networks

• Lunit - Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation

• Hyeonwoo Noh, Seunghoon Hong, Bohyung Han, Learning Deconvolution Network for Semantic Segmentation, arXiv:1505.04366. [Paper] (7th ranked in VOC2012)

Collaborators

• 이준호 junhoning@gmail.com
• 김휘영 astaria82@gmail.com
• 김세옥 bboyseiok@gmail.com
• 이지민 ljm861@gmail.com
• 조형주 phelahab@gmail.com

Competitions

• Data Science Bowl 2017 | Kaggle
• AMC-contest

Data

• medical data by beamandrew

• Openi - nih.gov

  query example: https://openi.nlm.nih.gov/gridquery.php?q=&it=x,xg&sub=x&m=1&n=101

Lectures

• Machine learning meets medical imaging: From signals to clinically useful information - SCI Institute, Univ. of Utah
• Machine Learning in Health Care - Microsoft Research
• Better Medicine Through Machine Learning | Suchi Saria | TEDxBoston

Tutorials

• Making 3d numpy array with pydicom Tutorial
• Data-Science-Bowl-Preprocessing-Tutorial
• Medical-Image-Analysis-IPython-Tutorials

Unet

• Unet Architecture
• Retina image and segmentation

X-ray, 2d images

• Deep Learning-based Framework for Cancer Classification
• X-ray Classification

MRI, CT, 3d images

• 3d Convolutional Neural Network
• Deepmedic
• V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation [git]

Related Awesome Lists

• Awesome-Deepbio

Remarks

Currently in progress! Add more links to help others!