DeepLearning-for-Medical-Imaging

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DeepLearning-for-Medical-Imaging

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Deep Learning for medical imaging

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# Deep Learning for Medical Imaging
Amazing Materials to study Deep Learning for Medical Imaging

## Lecture
- https://www.coursera.org/specializations/ai-for-medicine?

## Kaggle Datasets
- [NIH Chest X-rays(Over 112,000 Chest X-ray images from more than 30,000 unique,42GB)](https://www.kaggle.com/nih-chest-xrays/data)<br>
- [Retinal OCT Images (optical coherence tomography)](https://www.kaggle.com/paultimothymooney/kermany2018)
- [Chest X-Ray Images (Pneumonia)](https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia)
- [CT Medical Images](https://www.kaggle.com/kmader/siim-medical-images)
- [Brain MRI segmentation:Brain MRI images together with manual FLAIR abnormality segmentation masks](https://www.kaggle.com/mateuszbuda/lgg-mri-segmentation)

## Kaggle Kernels
- [Mask-RCNN and Medical Transfer Learning SIIM-ACR](https://www.kaggle.com/hmendonca/mask-rcnn-and-medical-transfer-learning-siim-acr)

# Books for medical imaging
[Best seven books to check out in 2018 for Machine/Deep Learning and Medical Image Computing](http://www.mauricioreyes.me/blog/2018/01/05/best-seven-books-to-check-out-in-2018-for-machine-deep-learning-and-medical-image-computing/)

# Papers
- [U-Net: Convolutional Networks for Biomedical Image Segmentation](https://arxiv.org/abs/1505.04597)
- [Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery](https://arxiv.org/abs/1703.05921)
- [V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation](https://arxiv.org/abs/1606.04797)

# Lecture Notes
- [Variational Autoencoder based Anomaly Detection using Reconstruction Probability](http://dm.snu.ac.kr/static/docs/TR/SNUDM-TR-2015-03.pdf)

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