Stars
Stain normalization tools for histological analysis and computational pathology
A curated list of all the open-source internships/Programs
Detects whether a person has pneumonia or not based on a chest X-ray ; Has an accuracy of 98+ .
Pediatric pneumonia image classification with (strongly) imbalanced data via Pytorch 🫁
Classifying x-ray images with convolutional neural networks to determine if a patient has pneumonia.
An CNN based binary classification model to classify X-Ray scans on whether they are suffering from pneumonia or not.
This repository contains code for pneumonia detection using X-ray images of the lungs.
Making a binary classifier to detect pneumonia using chest x-rays images.
Deep Learning for Automatic Pneumonia Detection, RSNA challenge
Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models
Classify chest X-rays into "pneumonia" or "normal" using neural network.
This project is done as part of the Machine Learning subject in our curriculum.
Adversarial Attacks and Defenses on Medical Imaging Deep Neural Networks
Code for the paper "Adversarial Attacks Against Medical Deep Learning Systems"
To understand adversarial attacks on medical deep learning systems for various imaging classification tasks in clinical oncology and use adversarial training to defend models against such attacks
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
PyTorch implementation of adversarial attacks [torchattacks]
TensorFlow Tutorials with YouTube Videos
This repository contain source code and data to evaluate the explainatory power of LRP using adversarial examples.
[NeurIPS 2021] Official PyTorch Implementation for "Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck"
More information about the paper “Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems”
VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo
Visualization of Adversarial Examples
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
A curated list of Robust Machine Learning papers/articles and recent advancements.