zero19970
I currently study at the AI Thrust of The Hong Kong University of Science and Technology (Guangzhou).
Pinned Repositories
albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
chenghangli.github.io
my website
deep-histopath
A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge
DeepCC
a deep learning-based framework for cancer classification
DeepCC-case-study
Show how to use DeepCC, and provide a data set for case study
deepcc_model
Provide some deepcc model train with TCGA data
deepcc_optimizer
This repository is used to develop DeepCC
gf_lab
histolab
Library for Digital Pathology Image Processing
HTSanalyzeR2
HTSanalyzeR2: A R package for gene set enrichment and network analysis of various high-throughput data
zero19970's Repositories
zero19970/Yolo-FastestV2-crack-dectection
zero19970/chenghangli.github.io
my website
zero19970/torchstain
Pytorch stain normalization tools for histological analysis and computational pathology
zero19970/albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
zero19970/histolab
Library for Digital Pathology Image Processing
zero19970/DeepCC-case-study
Show how to use DeepCC, and provide a data set for case study
zero19970/HTSanalyzeR2
HTSanalyzeR2: A R package for gene set enrichment and network analysis of various high-throughput data
zero19970/gf_lab
zero19970/WSI-GTFE
Topological Feature Extraction on Whole Slide Images using Graph Neural Networks.
zero19970/deepcc_model
Provide some deepcc model train with TCGA data
zero19970/deepcc_optimizer
This repository is used to develop DeepCC
zero19970/DeepCC
a deep learning-based framework for cancer classification
zero19970/python-wsi-preprocessing
Python Whole Slide Image Preprocessing
zero19970/deep-histopath
A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge