Zoopare

AutoRetinalImageSegmentation

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

DeepLearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

DeepLearningZeroToAll

TensorFlow Basic Tutorial Labs

disc_segmentation

我的论文Optic Disc and Cup Segmentation Based on Deep Learning的相关代码

DRION-DB-PythonTools

this a python tools to generate optic disc groundtruth of OD image from DRION-DB

fundus-vessel-segmentation-tmbe

One of the first steps in automatic fundus image analysis is the segmentation of the retinal vasculature, which provides valuable information related to several diseases. In this work, we present an extensive description and evaluation of our method for blood vessel segmentation in fundus images based on a discriminatively trained, fully connected conditional random field model. This task remains a challenge largely due to the desired structures being thin and elongated, a setting that performs particularly poorly using standard segmentation priors, such as a Potts model or total variation. We overcome this difficulty by using a conditional random field model with more expressive potentials, taking advantage of recent results enabling inference of fully connected models almost in real-time. Parameters of the method are learned automatically using a structured output support vector machine, a supervised technique widely used for structured prediction in a number of machine learning applications. The evaluation of our method is performed both quantitatively and qualitatively on DRIVE, STARE, CHASEDB1 and HRF, showing its ability to deal with different types of images and outperforming other techniques, trained using state of the art features.

hello-world

a place that we can discuss something interesting

Joint-Optic-Disc-and-Cup-Segmentation-Based-on-Multi-Label-Deep-Network-and-Polar-Transformation

Implementation of the paper -> Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation <- in Python3

optic-cup-disc

This project contains a code written in Python to separate the optic disc and optic cup of the Retinal section of the human eye to aid in Glaucoma diagnosis.

Optic-Cup-Disc-Segmentaion

Optic-Disc-Detection

MATLAB code for detection of optic disc in retinal funduscopy images.

Optic-Disc-Segmentation

optic disc segmentation helps to detect various diseases and help doctors to get good idea about the diseases

Optic-Disc-Segmentation-Based-on-K-means-for-Glaucoma-Detection

For the paper of course "Information Processing Technology on Internet of Things " and the title is "Optic Disc Segmentation Based on K-means for Glaucoma Detection"

Optic-Disc-Segmentation-OpenCV

An aproximation to optic disc detection and segmentation. Built on Python3 + OpenCV.

Optic-Disc-Unet

Attention Unet model with post process for retina optic disc segmention

Optic-Disc-Unet-master

attention-unet

Optic-Disk-Cup-Segmentation

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

optic-nerve-cnn

Code repository for a paper "Optic Disc and Cup Segmentation Methods for Glaucoma Detection with Modification of U-Net Convolutional Neural Network"

Optic_disc_segmentation

Two stage optic disc segmentation.

Optical-Disc-Detection---MATLAB

The project is to segment optical disc from eye image.

OpticDiscAndMaculaDetection

OpticDiscAndMaculaDetectionWithSVM

retina-optic-disc-detector

Optic disc detection in a retina image using a fully connected convolutional neural network.

Retinal-Image-Processing

Developed a system for automatic recognition of the characteristic patterns of diseases, such as Diabetic Retinopathy, Hypertension, Glaucoma, and Macular Degeneration, by extracting optic disc contour and blood vessels based on mathematical morphology operation along with Principal Component Analysis and Morphological Top Operation.

RtmpLive

Qt+librtmp+libx264+libvlc+videoinput实现视频流保存、摄像头采样压缩推流、多媒体播放器

TensorBox

Object detection in TensorFlow. Brought to you by Kuprel Industries.

TensorFlow-2.x-Tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

TensorFlow-and-DeepLearning-Tutorial

A TensorFlow & Deep Learning online course I taught in 2016