yanfang-research's repositories
ACMIL
WSI classification
bayes-mil
Code of "Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images" - ICLR 2023
ChatPaper
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复
CLIP-Driven-Universal-Model
[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.
CPATH_demographics
Demographic bias in misdiagnosis by computational pathology models - Nature Medicine
Digital-PD-L1-Scoring
Automated PD-L1 Expression Scoring in DLBCL
HIA
Histopathology Image Analysis
Histopathology-Datasets
Ressources of histopathology datasets
hover_net
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
HSA-NRL
Hard Sample Aware Noise Robust Learning forHistopathology Image Classification
LVM-Med
Release LMV-Med pre-trained models
Mask2Former
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
NERRE
Code and data for the publication "Structured information extraction from scientific text with large language models" by Dagdelen & Dunn et al.
playground
A central hub for gathering and showcasing amazing projects that extend OpenMMLab with SAM and other exciting features.
plip
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI. 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.
PuzzleTuning
The official repo of PuzzleTuning: Explicitly Bridge Pathological and Natural Image with Puzzles (arXiv: 2311.06712)
quilt-llava
Codebase for Quilt-LLaVA
SC-Net
This is the official code of the paper "Nuclei Segmentation with Point Annotations from Pathology Images via Self-Supervised Learning and Co-Training"
segment-anything-medical-evaluation
Code for "Segment Anything Model for Medical Image Analysis: an Experimental Study" in Medical Image Analysis
SOMA
[ICCV' 23 ORAL] Novel Scenes & Classes: Towards Adaptive Open-set Object Detection
SSMTL_CancerClassification
A Semi-Supervised Multi-Task Learning Framework for Cancer Classification with Weak Annotation in Whole-Slide Images - MedIA 2022
tcga-path-reports
TCGA Pathology Reports in Machine Readable Text
UNI
Towards a general-purpose foundation model for computational pathology - Nature Medicine
WSI_FiVE
Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction
WSITools
Tools for whole slide image (WSI) processing. Especially for (pairwise) patch extraction, annotation parsing and data preparation for deep learning purposes.