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automatic-microaneurysm-detection-from-color-fundus-images-in-diabetic-retinopathy

The project addresses automatic detection of microaneurysms (MA) which are first detectable changes in Diabetic Retinopathy (DR). Green channel, being the most contrasted channel, of the color fundus images are considered. The algorithm includes pre-processing, MA candidates detection, features extraction, classification and comparison with ground truth to evaluate the performance of classifier model.

blackeye

The ultimate phishing tool with 38 websites available!

data-structures-and-algorithms

desktop

Simple collaboration from your desktop

diabetic-retinopathy-detection

DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,

evilginx

PLEASE USE NEW VERSION: https://github.com/kgretzky/evilginx2

forensic

Copy-move image forgery detection library.

image-copy-move-detection

Copy-move forgery detection on digital image using Python

image-forgery-detection-cnn

Image forgery detection using convolutional neural networks. Group 10's final project for TU Delft's course CS4180 Deep Learning 2019.

intro

My First Repo

kaggle_diabetic

Team o_O solution for the Kaggle Diabetic Retinopathy Detection Challenge

madmax

MADMAX is public application to detect malicious domain.

mantranet

ManTra-Net: Manipulation Tracing Network For Detection And Localization of Image Forgeries With Anomalous Features

microaneurysm-detection

Microaneurysm Detection Using Principal component analysis and other ML methods (RF,NN,SVM)

pb_forgery_detection

Source code of the article ''Forgery detection in digital images by multi-scale noise estimation".

retinet

A CNN to classify Diabetic Retinopathy with Fundus images

retinet-1

Code for the RetiNet analysis

stratifyos

A Powerful embedded RTOS for ARM Cortex M microcontrollers

visualstudio

GitHub Extension for Visual Studio

zphisher

An automated phishing tool with 30+ templates. This Tool is made for educational purpose only ! Author will not be responsible for any misuse of this toolkit !