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Awesome

List of awesome code, papers, and resources for AI/deep learning/machine learning/neural networks applied to oncology.

Open access: all rights granted for use and re-use of any kind, by anyone, at no cost, under your choice of either the free MIT License or Creative Commons CC-BY International Public License.

© 2022 Craig Bailes (@cbailes | contact@craigbailes.com)

Index

Code

  • Cancer @ Papers With Code
  • Google Colab - A powerful, free Jupyter notebook environment for researchers that runs on Tesla K80 with support for Keras, Tensorflow, PyTorch, and other neural network frameworks

Challenges

Repositories

  • zizhaozhang/nmi-wsi-diagnosis - Pathologist-level interpretable whole-slide cancer diagnosis with deep learning
  • mark-watson/cancer-deep-learning-model - Keras deep Learning neural network model for University of Wisconsin Cancer data that uses the Integrated Variants library to explain predictions made by a trained model with 97% accuracy
  • prasadseemakurthi/Deep-Neural-Networks-HealthCare - Practical deep learning repository for predicting cancer clinical outcomes
  • MIC-DKFZ/nnunet - [Paper] - A framework designed for medical image segmentation that, when given a new dataset that includes training cases, will automatically take care of the entire experimental pipeline using a U-Net architecture
  • pfjaeger/medicaldetectiontoolkit - [Paper] - Contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images

Brain

Breast

Esophageal

Lung

  • ncoudray/DeepPATH - Classification of Lung cancer slide images using deep-learning
  • AiAiHealthcare/ProjectAiAi - A project with the slated goal of building an FDA-approved, open source deep learning system for detecting lung cancer

Oral

Prostate

Datasets

Brain

Breast

Pancreatic

Prostate

Papers

Meta reviews

Detection and diagnosis

Techniques

Hyperspectral imaging
Proton radiography

Brain

  • Deep Probabilistic Modeling of Glioma Growth - [Code] - Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier-Hein (2019)

Breast

Cervical

Esophageal

Liver

Lung

Mesothelioma

Nasopharyngeal

Oral

Ovarian

Pancreatic

Prostate

Skin

Stomach

Prognostics

Breast

Colorectal

Liver

Pancreatic

Prostate

Treatment

Drug design

Personalized chemotherapy

Radiation therapy

Cervical
Head and neck
Pancreatic
Pelvic
Prostate

Surgery

Presentations

Other and meta resources