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Awesome List of Digital and Computational Pathology Resources
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.
HistoQC is an open-source quality control tool for digital pathology slides
Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening. #MIDL2023.
[MedIA 2025] MedIAnomaly: A comparative study of anomaly detection in medical images
Awesome anomaly detection in medical images
A Collection of Data sets and Approaches to UAD in Brain MRI.
Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Masked Autoencoders for Unsupervised Anomaly Detection in Medical Images
Official implementation of "Anomaly Detection with Deep Perceptual Autoencoders." IEEE Access 2021
Interactive Tools for Machine Learning, Deep Learning and Math
Medical imaging processing for AI applications.
TF2.3 DCE-/DSC-MRI processing code, collected, tested and made available to all.
Implementation of Axial attention - attending to multi-dimensional data efficiently
A scikit-learn compatible neural network library that wraps PyTorch
Fast and accurate Active SAmpling method for Pairwise comparisons
A collection of resources on applications of Transformers in Medical Imaging.
Awesome GAN for Medical Imaging
PyQt QAbstractButton for pyqt-svg-button and pyqt-svg-toolbutton
Website containing illustrations about Machine Learning theory!
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.