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bleep

Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning

cancerdeeplearning

Development of computational analysis tool to use genomics and image data for classification and finding cancer markers

classifying-cancer

A Python-Tensorflow neural network for classifying cancer data

deeppath

Classification of Lung cancer slide images using deep-learning

docker_simpleelastix

Dockerfile for building the superbuild image of simpleelastix

histogene

PyTorch implementation of HisToGene

histopathology-stain-color-normalization

Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization in Histopathological H&E Images

innvestigate

A toolbox to iNNvestigate neural networks' predictions!

prov-gigapath

Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data

pyelastix

Thin wrapper around elastix - a toolbox for rigid and nonrigid registration of images

simpleelastix

Multi-lingual medical image registration library

spacell-1

stlearn

A novel machine learning pipeline to analyse spatial transcriptomics data

stlearn_codeocean

tensorflow

Singularity file wrapping Dockerfile of tensorflow/tensorflow:latest-gpu

tensorflow-1

An Open Source Machine Learning Framework for Everyone

xfuse

Super-resolved spatial transcriptomics by deep data fusion