HaohuiHU's Stars
HaohuiHU/Ane-stent
Stent simulation software
ilhame-larrem/Evaluation_de_m-thodes_de_segmentation_de_stents_bioresorbable_en_OCT
almarklein/stentseg
Stentseg is a library for stent segmentation in Python; the result of my PhD. Pure Python!
nl3769/caroSegDeep
Arterial wall segmentation on ultrasound image sequences using deep learning.
HuCaoFighting/Swin-Unet
[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
yhygao/UTNet
Official implementation of UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation
Tramac/awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
haung-hangdian/WiMuTH-Framework
A segmentation framework for IVUS images
davl3232/Ane-stent
Stent simulation software
tsorewilly/Endovascular-Tool-Segmentation-and-Tracking
Development of segmentation and tracking of endovascular tool during robotic cardiac catheterization. Published in Quantitative Imaging in Medicine and Surgery
milesial/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
HaohuiHU/SegLossOdyssey
A collection of loss functions for medical image segmentation
pambros/HMM-3D-Catheter-Tip-Tracking
3D/2D vessel/catheter-based registration and 3D catheter tip tracking using hidden Markov model.
InsightSoftwareConsortium/ITKTubeTK
TubeTK is an open-source toolkit for the segmentation, registration, and analysis of tubes and surfaces in images, developed by Kitware, Inc.
junqiangchen/Image-Segmentation-Loss-Functions
some loss functions of image segmentation
SimVascular/SimVascular
A comprehensive opensource software package providing a complete pipeline from medical image data segmentation to patient specific blood flow simulation and analysis.
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
HaohuiHU/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Kulbear/ivus-segmentation-icsm2018
dmolony3/DeepIVUS
Platform for deep learning based segmentation and phenotyping of IVUS pullbacks
xzz777/SCTNet
Official implementation of SCTNet (AAAI2024)
carthurs/CRIMSONGUI
The Cardiovascular Integrated Modelling and Simulation Environment's open-source vascular model creation GUI
IDEA-Research/Grounded-Segment-Anything
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
jvgomez/fast_methods
N-Dimensional Fast Methods: Fast Marching, Fast Sweeping, Group Marching, Fast Iterative, etc.