cswin/AWC

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Rank 610,431 (Top 13 %)
Language
Python
Created about 5 years ago
Updated about 3 years ago

cswin/AWC

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

WIN

Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising

RLPA

Regression and Learning with Pixel-wise Attention for Retinal Fundus Glaucoma Segmentation and Detection

CADA

Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentation

AutoRetinalImageSegmentation

This code is used for joint optic disc and cup segmentation from retinal fundus images

Jupyter Notebook

PIMA-CT

Low-dose CT noise simulation and denosing

EvoNet

Deep evolutionary networks with expedited genetic algorithms for medical image denoising

PlotNeuralNet

Draw deep neural network architecture

KerasTutorial

This is a tutorial for the beginners of loving deep learning. We start from Keras with some simple demos, including CNNs, RNNs, and GANs.

Jupyter Notebook