junqiangchen

PytorchDeepLearing. Meidcal Image Segmentation Pytorch Version

LUNA16-Lung-Nodule-Analysis-2016-Challenge. LUNA16-Lung-Nodule-Analysis-2016-Challenge

LiTS---Liver-Tumor-Segmentation-Challenge. LiTS - Liver Tumor Segmentation Challenge

VNet3D. Prostate MR Image Segmentation 2012

KiTS19-Challege. KiTS19——2019 Kidney Tumor Segmentation Challenge

VNetFamily. Variant VNet family

Unet2d. Medical Image Ceil Segment

Image-Segmentation-Loss-Functions. some loss functions of image segmentation

VNet. Prostate MR Image Segmentation 2012

BraTS18-Challege. Multimodal Brain Tumor Segmentation Challenge 2018

MedicalImageProcessExample. There are some examples of 3D Medical Image Process

AttentionGatedVNet3D. Attention Gated VNet3D Model for KiTS19——2019 Kidney Tumor Segmentation Challenge

TN-SCUI2020-Challenge. TN-SCUI2020-Challenge

LungLobeSegmentation. Lobe Segmentation

ATLAS-R2.0---Stroke-Lesion-Segmentation. ATLAS R2.0 - Anatomical Tracings of Lesions After Stroke

HC18-Automated-measurement-of-fetal-head-circumference. HC18—Automated measurement of fetal head circumference

FeaturePointDetection. Face Feature Point Detection

Ultra-low-Dose-PET-Imaging-Challenge. low dose PET Imaing

INSTANCE2022-INtracranial-hemorrhage-SegmenTAtioN-ChallengE. Intracranial Hemorrhage Segmentation Challenge on Non-Contrast head CT (NCCT)

Unet_3d. Unet_3d,Segment

STS2024. Fifth solution for tooth segmentation

DualAttentionVNet3D. DualAttention VNet3D Model for KiTS19——2019 Kidney Tumor Segmentation Challenge

HVSMR2016Challenge. HVSMR 2016: MICCAI Workshop on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease

GAN. Generate Image With GAN

COVID-CT19-Challenge. COVID-CT19-Challenge

Nested-VNet3D. Nested VNet3D Model for KiTS19——2019 Kidney Tumor Segmentation Challenge

qwen3_Lora_sft_medicalQA. This is a medical question-answering system fine-tuned using qwen3, lora and sft

LandMarksDetection. LandMarksDetection with heatmap regression,another way is coords regression

KiPA2022-Challenge. KiPA2022——Multi-Structure Segment for Renal Cancer Treatment.

HololensStudyExample. hololens develop examples

mnist_CNN. mnistCNN

MutiltGPU_Unet2d. Unet MutilGPU Train Example

COVID-19-20-Segmentation-Challenge. COVID-19 Lung CT Lesion Segmentation Challenge - 2020

MutilGPU2dCNN. MutilGPU train CNN

ROC-with-tensorflow. Draw ROC for CNN classification

TensorRTSegmentationDemo. TensorRTC++ example

Deep-Learning-with-PyTorch-Tutorials. 深度学习与PyTorch入门实战视频教程 配套源代码和PPT

CNN_3d. cnn_3d example

Cl-Detection2024. Python

PytorchYoloV3. PytorchYolov3

awesome-LLMs-In-China. 中国大模型

Deep-Learning-for-Medical-Applications. Deep Learning Papers on Medical Image Analysis

HipHop_2D3Dregistration. 2D/3D registration between CT/MRI or STL models and X-ray images (November 2018)

tutorials-1. MONAI Tutorials

Awesome-Chinese-LLM. 整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

All-About-the-GAN. All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

kaggle-challenges-project. kaggle medical challenges projects

STSR2025Challenge. Python

labelme. Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

MixedRealityToolkit. The MixedRealityToolkit is a collection of scripts and components intended to accelerate the development of mixed reality applications targeting Windows Mixed Reality.

Machine-Learning.

awesome-deep-learning-papers. The most cited deep learning papers

TensorflowFramework. An extendable framework for training neural network models using TensorFlow.

MedicalNet. Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

medical-mcp. An MCP server that provides comprehensive medical information by querying multiple authoritative medical APIs including FDA, WHO, PubMed, Google Scholar, and RxNorm

mean-teacher. A state-of-the-art semi-supervised method for image recognition

readme-template-2. README.md template for your open-source project

DLTK. Deep Learning Toolkit for Medical Image Analysis

brew. brew: Python Ensemble Learning API