awesome-ai-cancer
github.com/cbailes/awesome-ai-cancer ↗Awesome artificial intelligence in cancer diagnostics and oncology
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me detection and diagnosis resources from awesome-ai-cancer"
Installation instructions →What's inside
Papers
- A Bayesian Hierarchical Model for Prediction of Latent Health States from Multiple Data Sources with Application to Active Surveillance of Prostate CancerDetection and diagnosis
R. Yates Coley, Aaron J. Fisher, Mufaddal Mamawala, H. Ballentine Carter, Kenneth J. Pienta, Scott L. Zeger (2016)
- Accurate Gastric Cancer Segmentation in Digital Pathology Images Using Deformable Convolution and Multi-Scale Embedding NetworksDetection and diagnosis
Muyi Sun, Guanhong Zhang, Hao Dang, Xingqun Qi, Xiaoguang Zhou, Qing Chang (2019)
- Adversarial Networks for Prostate Cancer DetectionDetection and diagnosis
Simon Kohl, David Bonekamp, Heinz-Peter Schlemmer, Kaneschka Yaqubi, Markus Hohenfellner, Boris Hadaschik, Jan-Philipp Radtke, Klaus Maier-Hein (2017)
- Adversarial Networks for the Detection of Aggressive Prostate CancerDetection and diagnosis
Simon Kohl, David Bonekamp, Heinz-Peter Schlemmer, Kaneschka Yaqubi, Markus Hohenfellner, Boris Hadaschik, Jan-Philipp Radtke, Klaus Maier-Hein (2017)
- Adversarial optimization for joint registration and segmentation in prostate CT radiotherapyTreatment
Mohamed S. Elmahdy, Jelmer M. Wolterink, Hessam Sokooti, Ivana Išgum, Marius Staring (2019)
- A Hierarchical Probabilistic U-Net for Modeling Multi-Scale AmbiguitiesDetection and diagnosis
Simon A. A. Kohl, Bernardino Romera-Paredes, Klaus H. Maier-Hein, Danilo Jimenez Rezende, S. M. Ali Eslami, Pushmeet Kohli, Andrew Zisserman, Olaf Ronneberger (2019)
Code
- AFAgarap/wisconsin-breast-cancerRepositories
Codebase for
- agalea91/esoph_linear_modelRepositories
Modeling of an esophageal cancer study in iPython
- AiAiHealthcare/ProjectAiAiRepositories
A project with the slated goal of building an FDA-approved, open source deep learning system for detecting lung cancer
- akshaybahadur21/BreastCancer_ClassificationRepositories
Machine learning classifier for cancer tissues
- alexislechat/Screening-and-Diagnosis-of-esophageal-cancer-from-in-vivo-microscopy-imagesRepositories
A simple, multi-class image classifier for esophageal cancer
- Arvaniti prostate cancer TMA datasetDatasets
H&E stained images from five prostate cancer Tissue Microarrays (TMAs) and corresponding Gleason annotation masks
Presentations
- Automatic Prostate Cancer Classification using Deep Learning
Ida Arvidsson, Lund University, Sweden (2018)
- Deep Learning with Big Health Data for Early Cancer Detection and Prevention
Jun Deng, Yale (2017)
Resources
- @cbailes
contact@craigbailes.com)
Other and meta resources
- Deep Learning in Oncology – Applications in Fighting Cancer
Abder-Rahman Ali (2019)
- Google Deep Learning Tool 99% Accurate at Breast Cancer Detection
Jessica Kent (2018)
- Google Develops Deep Learning Tool to Enhance Lung Cancer Detection
Jessica Kent (2019)
- Histopathological Cancer Detection with Deep Neural Networks
Antonio de Perio (2019)
Showing a sample of 191 resources. View the full list on GitHub →