hellodfan

paquo

PAthological QUpath Obsession - QuPath and Python conversations

HistoSSLscaling

Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., MedRxiv (2023). We publicly release Phikon 🚀

SurvPath

Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction - CVPR 2024

CohortFinder

Intelligent data partitioning using quality control metrics

SimMatch

SimMatch: Semi-supervised Learning with Similarity Matching

CMTA

Here is the official implementation of the paper "Cross-Modal Translation and Alignment for Survival Analysis"

Awesome-Out-Of-Distribution-Detection

Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc

C-VisDiT

The official implementation of our ICCV 2023 publication, C-VisDiT

PDL

Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "

RetCCL

GraDe_IF

Graph Denoising Diffusion for Inverse Protein Folding(NeurIPS 2023)

DeepLearningCamelyon

DeepLearning - Camelyon16 dataset

PathOmics

[MICCAI 2023 Oral] The official code of "Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction" (top 9%)

DataDAM

[ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching

ComAD

official code for paper entitled "Component-aware anomaly detection framework for adjustable and logical industrial visual inspection"

PMAD

Pytorch Implementation for AAAI2023 paper: One-for-All: Proposal Masked Cross-Class Anomaly Detection

UniAD

[NeurIPS 2022 Spotlight] A Unified Model for Multi-class Anomaly Detection

TriPath

Analysis of 3D pathology samples using weakly supervised AI - Cell

MHIM-MIL

[ICCV 2023 Oral] Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification

BCSS

Use this to download all elements of the BCSS dataset described in: Amgad M, Elfandy H, ..., Gutman DA, Cooper LAD. Structured crowdsourcing enables convolutional segmentation of histology images. Bioinformatics. 2019. doi: 10.1093/bioinformatics/btz083

FastFlow

open_clip

An open source implementation of CLIP.

cflow-ad

Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"

WinClip

[CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".

FOD

Pytorch Implementation for ICCV2023 paper: Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection

HistoQC

HistoQC is an open-source quality control tool for digital pathology slides

BMAD

BMAD hold a Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license

fc-clip

[NeurIPS 2023] This repo contains the code for our paper Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

quilt1m

[NeurIPS 2023 Oral] Quilt-1M: One Million Image-Text Pairs for Histopathology.

DREAM

Efficient Dataset Distillation by Representative Matching