-
Xi'an Jiaotong Unverisity
- Xi'an Shaanxi China
-
11:11
(UTC +08:00) - med-engineering.cn
- https://orcid.org/0009-0000-4677-8713
Lists (1)
Sort Name ascending (A-Z)
Stars
Structure of multiple classification tasks for ACDC data sets
第九届全国大学生生物医学工程竞赛 智绘乳癌——基于人工智能的乳腺癌免疫组化图像生成(网页端)
Papers and Public Datasets for Diabetic Retinopathy Detection
Detecting Diabetic Retinopathy using Deep learning algorithm - Convolution neural network (Resnet-152) using PyTorch + GUI + SMS notification
Diabetic Retinopathy Feature Extraction and Binary Diagnosis
Patho-GAN: interpretation + medical data augmentation. Code for paper work "Explainable Diabetic Retinopathy Detection and Retinal Image Generation"
A General-purpose High-quality Dataset for Diabetic Retinopathy Classification, Lesion Segmentation and Lesion Detection
This is the official implementation of the paper Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images.
A gorgeous theme for Tkinter/ttk, based on the Sun Valley visual style ✨
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Code for the paper "SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation "
UNet3+/ UNet++/UNet, used in Deep Automatic Portrait Matting in Pytorth
This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D.
This repository is an unoffical PyTorch implementation of Semi-Supervised Learning on Medical Segmentation in 2D and 3D.
3d unet and 3d autoencoder for automatical segmentation and feature extraction.
Brain tumor segmentation using a 3D UNet CNN
3D U-Net model for volumetric semantic segmentation written in pytorch
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet