deep-histopath

Cancer Proliferation Model

Develops an automatic prediction model for breast cancer proliferation scores from whole-slide histopathology images using deep learning techniques.

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

GitHub

206 stars
22 watching
89 forks
Language: Jupyter Notebook
last commit: over 5 years ago
cancer-researchdeep-learningmachine-learningmedical-imagingmedicine

Related projects:

Repository Description Stars
lishen/end2end-all-conv Develops machine learning models to detect breast cancer from mammography images using deep learning techniques 374
baidu-research/ncrf Automated detection of cancer metastasis using deep learning and conditional random fields. 756
ecobost/cnn4brca This project uses Convolutional Neural Networks (CNN) for image segmentation of breast cancer lesions. 75
nyukat/breast_cancer_classifier A Python-based deep learning model for breast cancer classification from mammography images 843
cancerai-cl/integrativevaes Designs and builds neural networks to integrate diverse cancer patient data types for accurate diagnosis and clinical applications. 27
ibm/max-breast-cancer-mitosis-detector A machine learning-based system for detecting mitosis in breast cancer tumor cells from images 23
antoniodefalco/scevan Automated tool for classifying cells in scRNA data and inferring copy number profiles of malignant cells. 93
cangermueller/deepcpg A deep learning framework for predicting DNA methylation states from incomplete data. 143
bplaye/nnk_dti An open-source project evaluating deep learning methods for predicting ligands and drugs in chemogenomics 3
broadinstitute/cell-health Predicts cell health from morphological profiles using machine learning and image analysis 35
bmirds/deepslide Classifies high-resolution microscopy images of lung adenocarcinoma using deep neural networks with a sliding window framework. 489
kchen-lab/medalt Software for inferring evolutionary lineage of tumor cells from single cell copy number profiles 17
compbel/scifil A computational tool for analyzing single cell sequencing data to infer fitness landscapes of cancer cell populations. 5
aertslab/cistopic An R package for identifying cell states and cis-regulatory topics from single-cell epigenomics data 135
gwgundersen/dpcca Develops a method to learn shared latent structure between biomedical images and gene expression data 25