Ressources of histopathology datasets

[ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Eric Wong, D…

Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems

Data Efficient & Weakly Supervised Computational Pathology on Whole Slide Images

Scenic: A Jax Library for Computer Vision Research and Beyond

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

cGAN-based Multi Organ Nuclei Segmentation

A deep-learning framework for multi-omics integration

Simple Python script to split video into equal length chunks or chunks of equal size, duration, etc.

Official repo of the paper Zero-Shot Machine Unlearning accepted in IEEE Transactions on Information Forensics and Security

Brain Lesion Analysis and Segmentation Tool for Computed Tomography

Fusing Histology and Genomics via Deep Learning.

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Detect location and draw boundary of nuclei from microscopic images

NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation

ICLR 2021, Contrastive Learning with Hard Negative Samples

Smooth Loss Functions for Deep Top-k Classification

Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary