zxy1234321

zxy1234321's Stars

• NeuronXJTU/CRBNet

  Ultrasound Nodule Segmentation Using Asymmetric Learning with Simple Clinical Annotation

  Language:Python4

• openmedlab/.github

  61

• openmedlab/MedLSAM

  MedLSAM: Localize and Segment Anything Model for 3D Medical Images

  Language:Python48619

• openmedlab/RETFound_MAE

  RETFound - A foundation model for retinal image

  Language:Jupyter Notebook655

• openmedlab/SAM-Med2D

  SAM-Med2D: Bridging the Gap between Natural Image Segmentation and Medical Image Segmentation

  Language:Jupyter Notebook592

• openmedlab/MedFM

  Official Repository of NeurIPS 2023 - MedFM Challenge

  Language:Python25814

• openmedlab/DeblurringMIM

  Language:Python1251

• openmedlab/XrayPULSE

  Language:Python1657

• openmedlab/PULSE

  PULSE: Pretrained and Unified Language Service Engine

  Language:Python45815

• openmedlab/PathoDuet

  Language:Python1725

• openmedlab/CITE

  [MICCAI'23] Text-guided Foundation Model Adaptation for Pathological Image Classification

  143

• openmedlab/Endo-FM

  [MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train

  1904

• openmedlab/USFM

  Language:Python19811

• openmedlab/MIS-FM

  Language:Python2255

• openmedlab/PULSE-COVID-19

  Language:Python107

• openmedlab/MIU-VL

  This is a repository for the ICLR2023 accepted paper -- Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study.

  132

• openmedlab/STU-Net

  The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations) to date.

  1153

• openmedlab/BROW

  Language:Python123

• openmedlab/PRIME

  1061

• mahmoodlab/CLAM

  Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

  Language:Python1k346

• koncle/CoraNet

  Language:Python456

• rsummers11/CADLab

  Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

  Language:C++432186

• WAMAWAMA/TNSCUI2020-Seg-Rank1st

  This is the source code of the 1st place solution for segmentation task in MICCAI 2020 TN-SCUI challenge.

  Language:Python47877

• McHz1s/RECIST_Co_training

  Language:Python1

• HanseulJo/KiTS19_2dUnet

  It is a nice example to practice training a simple CNN model.

  Language:Jupyter Notebook1

• jchen42703/kits19-cnn

  Using convolutional neural networks for the 2019 Kidney and Kidney Tumor Segmentation Challenge

  Language:Jupyter Notebook193

• muellerdo/kits19.MIScnn

  Kidney Tumor Segmentation Challenge 2019: MIScnn - 3D Residual U-Net

  Language:Python3610

• nitsaick/kits19-challenge

  Kidney Tumor Segmentation Challenge 2019

  Language:Python5219

• neheller/kits19

  The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge

  Language:Python429179

• junqiangchen/KiTS19-Challege

  KiTS19——2019 Kidney Tumor Segmentation Challenge

  Language:Python11635