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basics_imageprocessing

A collection of all files that helps understand digital images and image processing using python

blood-vessels-segmentation-unet

Retinal blood vessel segmentation using convolutional neural network (u-net) and image processing techniques.

coding_practice

datascienceinternship

deepguidance

Deep Guidance Network for Biomedical Image Segmentation

deepretina

Work on retinal and scleral image understanding (in progress)

detection_of_malaria

A deep learning model built to detect malaria using transfer learning with SVM

dl_project

drive-digital-retinal-images-for-vessel-extraction

We have done segmentation of blood vessels from their respective retinal images. As this is a segmentation model, we have used U-net architecture for the segmentation purpose. We have modified the typical convolution 2D layer to add new Dense Layer and finally got better result.

imagecaptioningpytorch

keras_unet_plus_plus

keras implementation of unet plus plus

machinelearning

retina-features

Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

retina-unet

眼底图像的血管分割

retina-vesselnet

A Simple U-net model for Retinal Blood Vessel Segmentation based on tensorflow2

retinal-vessel-segmentation

Retinal Vessel Segmentation using U-Net architecture. DRIVE and STARE datasets are used.

retinal-vessel-segmentation-1

Retinal Vessel Segmentation based on Fully Convolutional Networks