joao-nunes's Stars
Wangt-CN/Awesome-Causality-in-CV
A curated list of Causality in Computer Vision
mahmoodlab/UNI
Towards a general-purpose foundation model for computational pathology - Nature Medicine
PathologyFoundation/plip
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
jopo666/HistoPrep
Preprocessing module for large histological images
TiagoFilipeSousaGoncalves/survey-attention-medical-imaging
Implementation of the paper "A survey on attention mechanisms for medical applications: are we moving towards better algorithms?" by Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira and Jaime S. Cardoso.
szc19990412/TransMIL
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
HiLab-git/SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
sebastianffx/stainlib
Python 3 library for the augmentation & normalization of H&E images
srinidhiPY/SSL_CR_Histo
Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.
TissueImageAnalytics/tiatoolbox
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
LIVIAETS/boundary-loss
Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
ilmaro8/Data_Driven_Color_Augmentation
gatsby2016/Augmentation-PyTorch-Transforms
Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
facebookresearch/vicreg
VICReg official code base
isaaccorley/simsiam-pytorch
PyTorch Implementation of SimSiam from "Exploring Simple Siamese Representation Learning" by Chen et al.