Hanminghao
I am a PhD student at Fudan University, and my main research focus is on computational pathology.
Fudan UniversityShanghai
Hanminghao's Stars
qubvel/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
miracleyoo/pytorch-lightning-template
An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板,简单易用,稍改原来Pytorch代码,即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well. No need to rewrite your config in hydra.
mahmoodlab/CLAM
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
prov-gigapath/prov-gigapath
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
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.
mahmoodlab/CONCH
A vision-language foundation model for computational pathology - Nature Medicine
luisvalesilva/multisurv
Multimodal deep learning model for long-term cancer survival prediction
mahmoodlab/PANTHER
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024
lin-lcx/HGCN
Innse/MOTCat
liupei101/Pipeline-Processing-TCGA-Slides-for-MIL
This repo provides the pipeline of processing TCGA whole-slide images for downstream multiple instance learning.
shi-ang/SurvivalAnalysisPapers
A list of papers/resources in Survival Analysis that I have read or would like to read.
masatsuneki/histopathology-image-caption
ydk122024/CCIM
[CVPR2023] Context De-confounded Emotion Recognition
Jiangbo-Shi/SGMF
A Structure-aware Hierarchical Graph-based Multiple Instance Learning Framework for pT Staging in Histopathological Image (TMI 2023)
pmhDL/TasNet
raozf/Dual-target
Bunnybeibei/GexMolGen
Cross-modal generation of molecules from gene expression inputs.
shaoweinuaa/Code-for-paper-in-TMI2023
Code for 'Characterizing Survival-Associated Interactions between Tumor-infiltrating Lymphocytes and Tumors from Pathological Images and Multi-omics Data'.