dl_on_bio

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# datasets
1. Alzheimer [http://adni.loni.usc.edu/](http://adni.loni.usc.edu/)
2. Grand Challenges in Biomedical Image Analysis [https://grand-challenge.org/All_Challenges/](https://grand-challenge.org/All_Challenges/)
3. academictorrents [http://academictorrents.com/browse.php?search=&c6=1](http://academictorrents.com/browse.php?search=&c6=1)
4. X-ray hand skeleton bone [http://www.ipilab.org/BAAweb/](http://www.ipilab.org/BAAweb/)
5. Individual Cells [http://www.allencell.org/image-data-downloads.html](http://www.allencell.org/image-data-downloads.html)
6. [Cancer Imageing Archive](http://www.cancerimagingarchive.net/)
7. [MRI dataset](http://mridata.org/)

# opensource software of image analysis
1. list [http://www0.cs.ucl.ac.uk/opensource_mia_ws_2012/links.html](http://www0.cs.ucl.ac.uk/opensource_mia_ws_2012/links.html)
2. ANTs: Advanced Normalization Tools for Brain Image [link](https://github.com/stnava/ANTs)

# By disease
## Breast Cancer
1. Deep Learning for Identifying Metastatic Breast Cancer [paper](https://arxiv.org/pdf/1606.05718.pdf)

## Prostate Cancer
1. Adversarial Networks for the Detection of Aggressive Prostate Cancer [paper](https://arxiv.org/pdf/1702.08014.pdf)

# By Imaging
# MRI
1. A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction [paper](https://arxiv.org/pdf/1703.00555.pdf) [code](https://github.com/js3611/Deep-MRI-Reconstruction)

# Pathological
1. Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis [paper](https://www.nature.com/articles/srep26286)
2. Detecting Cancer Metastases on Gigapixel Pathology Images [paper](https://arxiv.org/pdf/1703.02442.pdf) [blog](https://research.googleblog.com/2017/03/assisting-pathologists-in-detecting.html)

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