Zhenwei Shi (zhenweishi)

zhenweishi

Geek Repo

Company:Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences

Location:Guangdong, China

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Zhenwei Shi's repositories

Py-rex

Open source of Pyradiomics extension

QMITH

MRI-based quantitative measure of intra-tumoral heterogeneity in breast cancer

Language:Jupyter NotebookLicense:MITStargazers:21Issues:0Issues:0

BreastCancerAutoSegmentor

This repository is segmentation of common structures in breast MRI, such as breast region, fibroglandular tissue and tumor

License:Apache-2.0Stargazers:4Issues:2Issues:0

O-RAW

Ontology-guided Radiomics Analysis Workflow (O-RAW)

Language:PythonStargazers:4Issues:2Issues:0

FM-LCT

Foundation Model for Quantitative Imaging Analysis in Lung Cancer

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MISA

Medical Image Subregion Partiton Toolkit (MISA)

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1Issues:0Issues:0

MMA-RadIQA

A quality assessment and evaluation tool for radiological images, such as CT and MR

License:Apache-2.0Stargazers:1Issues:0Issues:0

BCNAC_pCR_iTED

Personalized Prediction of Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer by Quantifying Intra-tumor Ecological Diversity on MRI: A Dual-center Study (code will be available soon)

License:Apache-2.0Stargazers:0Issues:2Issues:0

Deep-QImaging

Deep Quantitative Imaging

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FAIR-QI

FAIR (Findable, Accessible, Interoperable, and Reusable) Quantitative Imaging

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FAIR-QImaging

FAIR (Findable, Accessible, Interoperable, and Reusable) principles Quantitative Imaging

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FGTSA

A toolkit for fibroglandular tissue segmentation and analysis in breast MRI scans

License:MITStargazers:0Issues:0Issues:0
License:Apache-2.0Stargazers:0Issues:2Issues:0

MAASTRO_MGH

MAASTRO_MGH

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MMA-AiTH

A new Assessment toolkit for intra-Tumor Heterogeneity (AiTH) on radiological images

License:Apache-2.0Stargazers:0Issues:2Issues:0

MMA-AutoMPD

Auto Mask Perturbation Deformer

License:Apache-2.0Stargazers:0Issues:0Issues:0
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pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:0Issues:2Issues:0

S3Former

S3Former: Self-Supervised Strategies-based Transformers for Lung Tumor Segmentation

License:MITStargazers:0Issues:1Issues:0

S3VIT

Self-Supervised Scheme-based Vision Transformer for Lung Tumor Segmentation

License:MITStargazers:0Issues:0Issues:0