Repository Index

OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages

• nci-itcr
• nci-qin
• quantitative-imaging
• imaging-informatics

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

• histopathology-images
• microscopy
• sliding-windows
• medical-image-analysis

Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell

• histology
• wsi-images
• pan-cancer-analysis
• genomics

Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome

• cancer-genomics
• cnv-detection
• single-cell
• phylogeny

Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk

• cancer-imaging-research
• radiomics
• radiomics-features
• machine-learning

AI-based pathology predicts origins for cancers of unknown primary - Nature

• histology
• pathology
• wsi-images
• histopathology

Detecting cancers on mobile phones

Predicting Cell Health with Morphological Profiles

• carpenter-lab
• morphological-profiling
• crispr
• cell-painting

CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer

• cancer
• foundation-model
• single-cell

3D shape analysis using deep learning

• cancer-biology
• cell-biology
• deep-learning
• geometric-deep-learning

DeepAEG: A model for predicting cancer drug response based on data enhancement and edge-collaborative update strategies