smitha-anil Goto Github PK
Name: Smitha A
Type: User
Bio: I am a Data Scientist @Niramai, working in the field of medical image processing towards cancer detection
Location: India
Name: Smitha A
Type: User
Bio: I am a Data Scientist @Niramai, working in the field of medical image processing towards cancer detection
Location: India
Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM (2021)
Colab notebooks from Algorithms for Massive Data course at University of Milan
Late AMD progression classification using fundus images and genotypes
Total generalised variation denoising for arterial spin labelling MRI data
Image augmentation library in Python for machine learning.
draw ROC,PR curve and calculate AUC MAP IoU for image semantic segmentation problem
Awesome GAN for Medical Imaging
BCDU-Net : Medical Image Segmentation
Binary classification of csv file using machine learning and deep learning models
Explainability of Deep Learning Models
Block Matching algorithm to identify moviment in sequence images
This repo contains an implementation of the methods described in 'Deep iteratitive vessel segmentation in OCT angiography'
The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks
PyTorch implementation of the CVPR 2018 paper Deep Image Prior by Dmitry Ulyanov et. al.
A Keras Implementation of "Deep Image Prior".
:eyes: DeepSeeNet is a deep learning framework for classifying patient-based age-related macular degeneration severity in retinal color fundus photographs.
Visualization tools for deep convolutional networks
Diabetic Retinopathy: Segmentation, Grading and Localization
The drusen segmentation model for early AMD.
Identifying diabetic retinopathy using convolutional neural networks
Code of 'Modeling and Enhancing Low-quality Retinal Fundus Images'
This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423
This was a project done at Insight Data Science in the summer of 2019 as a proof of concept of automated glaucoma detection from low- resolution Ocular Coherence Tomography (OCT) images.
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
Intraretinal cyst fuild detection using Deep Learning
Analyse OCT files segmented using the iowa reference algorithm
Keras implementation of Deeplab v3+ with pretrained weights
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.