wqgong

adversarial_retinal_synthesis

AugLy

A data augmentations library for audio, image, text, and video.

Blindness-Detection-Diabetic-Retinopathy-

This is a 5 Class Image Classification Task based on a Kaggle dataset from Eye Images (Aravind Eye hospital) - APTOS 2019 Challenge. The goal is to predict the Blindness Stage (0-4) class from the Eye retina Image using Deep Learning Models (CNN). This Automated System would speed up Blindness detection on Patients

computer-vision-in-action

学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页

cv-practice

计算机识别的简单练习

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

diabetic-retinopathy-code

Code for the Kaggle competition http://www.kaggle.com/c/diabetic-retinopathy-detection

Diabetic-Retinopathy-Detection

DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,

handong1587.github.io

HEI-MED

The Hamilton Eye Institute Macular Edema Dataset (HEI-MED) (formerly DMED) is a collection of 169 fundus images to train and test image processing algorithms for the detection of exudates and diabetic macular edema. The images have been collected as part of a telemedicine network for the diagnosis of diabetic retinopathy

wqgong/adversarial_retinal_synthesis

wqgong/AugLy

A data augmentations library for audio, image, text, and video.

wqgong/Blindness-Detection-Diabetic-Retinopathy-

This is a 5 Class Image Classification Task based on a Kaggle dataset from Eye Images (Aravind Eye hospital) - APTOS 2019 Challenge. The goal is to predict the Blindness Stage (0-4) class from the Eye retina Image using Deep Learning Models (CNN). This Automated System would speed up Blindness detection on Patients

wqgong/computer-vision-in-action

学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页

wqgong/cv-practice

计算机识别的简单练习

wqgong/deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

wqgong/diabetic-retinopathy-code

Code for the Kaggle competition http://www.kaggle.com/c/diabetic-retinopathy-detection

wqgong/Diabetic-Retinopathy-Detection

DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,

wqgong/handong1587.github.io

wqgong/HEI-MED

The Hamilton Eye Institute Macular Edema Dataset (HEI-MED) (formerly DMED) is a collection of 169 fundus images to train and test image processing algorithms for the detection of exudates and diabetic macular edema. The images have been collected as part of a telemedicine network for the diagnosis of diabetic retinopathy

wqgong/ICIAR2018_BACH_Challenge-DA-Refinenet

双输入的模型

wqgong/ImageProcessing-Python

该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。

wqgong/jama16-retina-replication

JAMA 2016; 316(22) Replication Study

wqgong/kaggle_diabetic_RAM

Extended Retinopathy Detection Challenge with the Regression Activation Map for visual explaination

wqgong/keras-grad-cam

An implementation of Grad-CAM with keras

wqgong/Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

wqgong/medical-data

wqgong/Multiclass-Diabetic-Retinopathy-Detection

This project is built to detect and determine Diabetic Retinopathy which affects more than half a million people around the world.

wqgong/OpenCV-Python-Tutorial

📖 OpenCV-Python image processing tutorial for beginners

wqgong/pytorch-image-classisifcation

Transfer learning models for Image Classification

wqgong/pytorch_multi_input_example

Multi-Input Deep Neural Networks with PyTorch-Lightning - Combine Image and Tabular Data

wqgong/real-time-network

real-time network architecture for mobile devices and semantic segmentation

wqgong/retina-unet

Retina blood vessel segmentation with a convolutional neural network

wqgong/self-supervised-3d-tasks

wqgong/stan-survival-shrinkage

Bayesian linear survival analysis with shrinkage priors in Stan

wqgong/torch-cam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

wqgong/u-net-brain-tumor

U-Net Brain Tumor Segmentation

wqgong/VTGAN

[ICCV2021] [Tensorflow] Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers

wqgong/Weakly_Supervised_Learning

Weakly Supervised Learning: Introduction and Best Practices