Smitha-anil

Awesome-Image-Quality-Assessment

A comprehensive collection of IQA papers

VGGIN-Net

VGGIN-Net architecture for imbalanced breast cancer classification

ADMM-DIPTV

Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM (2021)

Segmentation-of-Intra-Retinal-Cysts-from-OCT-Images-using-Fully-Convolutional-Neural-Network

OCT_Classification_GAN

Fundus_Review

Official website of our paper: Applications of Deep Learning in Fundus Images: A Review. Newly-released datasets and recently-published papers will be updated regularly.

AMDprogressCNN

Late AMD progression classification using fundus images and genotypes

smop

Small Matlab to Python compiler

AlgorithmsForMassiveData

Colab notebooks from Algorithms for Massive Data course at University of Milan

CCPi-Regularisation-Toolkit

The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks

Augmentor

Image augmentation library in Python for machine learning.

EyeQ_Enhancement

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

pggan-pytorch

:fire::fire: PyTorch implementation of "Progressive growing of GANs (PGGAN)" :fire::fire:

PyTorch-Lightning-GAN

Implementations of various GAN architectures using PyTorch Lightning

ODIR2019

Peking University International Competition on Ocular Disease Intelligent Recognition (ODIR-2019)

ocular-disease-intelligent-recognition-deep-learning

ODIR-2019. Ocular Disease Intelligent Recognition Through Deep Learning Architectures

Keras-progressive_growing_of_gans

Keras implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Progressive-GAN-pytorch

A pytorch implementation of Progressive-GAN that is actually works, readable and simple to customize

proxTV

Matlab and Python toolbox for fast Total Variation proximity operators

Weighted-Nonlocal-Total-Variation-in-Image-Processing

Weighted Nonlocal Total Variation in Image Processing

Non-Local-Means

Python implementation of the Non Local Means algorithm for image denoising.

asl-tgv

Total generalised variation denoising for arterial spin labelling MRI data

TGVDenoising

TGV based method for image denoising

primal-dual-toolbox

GPU-based Total (Generalized) Variation implementation for various applications, with Python and Matlab wrappers.

Interactive-Region-Growing-Segmentation

This is an interactive region growing algorithm which will take in user seeds and segment the region from the image. The segmented result can be improved by adding additional seeds and guiding the algorithm

OCT_Despeckling

A Learnable Despeckling Framework for Optical Coherence Tomography Images

SAR2SAR

SAR2SAR: a self-supervised despeckling algorithm for SAR images - Notebook implementation usable on Google Colaboratory

GlobalDiagnostiX

Code and stuff written for my work on http://globaldiagnostix.org/

video-quality

Video quality metrics, reference implementation in python: VIF, SSIM, PSNR, ...

TWSC-ECCV2018

Matlab Code for "A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising, ECCV 2018".