babysun3

babysun3's Stars

• master-Shix/ETSCL

  The code about the ETSCL

  Language:Python5

• Cocofeat/EyeMoSt

  【MICCAI 2023 Early Accept & MedIA submission】EyeMost "Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions"

  Language:Python18

• jiongchengli/1st-in-MICCAI-GAMMA-2021-challenge

  Language:Python41

• olivesgatech/OLIVES_Dataset

  Language:Python122

• pengyan510/glcae

  Global and Local Contrast Adaptive Enhancement for Non-uniform Illumination Color Images

  Language:Python122

• liamheng/Annotation-free-Fundus-Image-Enhancement

  Project for annotation-free image enhancement of fundus, cataract data.

  Language:Python305

• xinntao/ESRGAN

  ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

  Language:Python6.1k1.1k

• QtacierP/ISECRET

  I-SECRET: Importance-guided fundus image enhancement via semi-supervised contrastive constraining

  Language:Python252

• iMED-Lab/StillGAN

  Structure and Illumination Constrained GAN forMedical Image Quality Enhancement

  Language:Python377

• rayleizhu/BiFormer

  [CVPR 2023] Official code release of our paper "BiFormer: Vision Transformer with Bi-Level Routing Attention"

  Language:Python50141

• MingtaoGuo/Style-transfer-with-neural-algorithm

  Implementation of style transfer by tensorflow, for detail please see the paper "Image Style Transfer Using Convolutional Neural Networks"(CVPR2016)

  Language:Python5010

• enomotokenji/pytorch-Neural-Style-Transfer

  Unofficial pytorch implementation of Image Style Transfer Using Convolutional Neural Networks [Gatys+, CVPR2016]

  Language:Python6814

• ChrisMats/medical_transformers

  Public repo for the ICCV2021-CVAMD paper "Is it Time to Replace CNNs with Transformers for Medical Images?"

  Language:Python10924

• joanshen0508/Fundus-correction-cofe-Net

  Language:Python4010

• daitao/SAN

  Second-order Attention Network for Single Image Super-resolution (CVPR-2019)

  Language:Python557105

• gzshan/dogsVScats

  图像二分类问题 猫狗大战 pytorch CNN

  Language:Python12546

• qmh1234567/skin_disease_two_classification

  pytorch版—使用resnet50迁移学习实现皮肤病图片的二分类

  Language:Python12036

• dengzhuo-AI/Real-Fundus

  Language:Python379

• 0809zheng/dogs-VS-cats-pytorch

  Pytorch实现Kaggle竞赛“猫狗分类”，准确率超过99%。

  Language:Python369

• cswin/AWC

  CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation

  Language:Python479

• kr-viku/GLAUCOMA-DETECTION

  AUTOMATED TYPE CLASSIFICATION OF GLAUCOMA DETECTION USING DEEP LEARNING

  Language:Jupyter Notebook3625

• koriavinash1/Optic-Disk-Cup-Segmentation

  Optic Disc and Optic Cup Segmentation using 57 layered deep convolutional neural network

  Language:Jupyter Notebook5124

• ahmed1996said/gardnet

  Source code for GARDNet: Robust Multi-View Network for Glaucoma Classification in Color Fundus Images

  Language:Jupyter Notebook116

• Guzaiwang/CE-Net

  The manuscript has been accepted in TMI.

  Language:Python23676

• HzFu/EyeQ_Enhancement

  Code of 'Modeling and Enhancing Low-quality Retinal Fundus Images'

  Language:Python411

• HzFu/AGNet

  The code of "Attention Guided Network for Retinal Image Segmentation" in MICCAI 2019

  Language:Python11336

• HzFu/MNet_DeepCDR

  Code for TMI 2018 "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation"

  Language:Jupyter Notebook16852

• HzFu/DENet_GlaucomaScreen

  Code for "Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image"

  Language:Python5623

• kesaroid/Glaucoma-Detection

  Glaucoma detection using Deep Neural Networks

  Language:Python3619

• TheBeastCoding/glaucoma-dataset-metadata

  Actively maintained and comprehensive public glaucoma dataset catalog

  509