ABDELRAHMAN HABIB's repositories
magnification-specific-breast-histopathology-image-classification-using-machine-and-deep-learning
Various machine learning and deep learning models has been used to compare and evaluate different approaches on a breast cancer histopathological dataset for a multi-class image classification task.
Multi-Task-Attention-Based-Semi-Supervised-Learning-for-Medical-Image-Segmentation
This is an unofficial repository for "Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation" implementation. It contains some modifications that were made to fit our own task.
IBSR18-brain-tissue-segmentation
Brain tissue (WM, GM, CSF) segmentation using both multi-atlas and nnUNet approaches. This project was developed for a course titled "Medical Image Segmentation and Applications" - MISA under MAIA master program.
ISIC2019-skin-lesion-classification-segmentation
ISIC2019 skin lesion classification (binary & multi-class) as well as segmentation pipelines using VGG16_BN and visual attention blocks. The project features improving the results found in the literature by implementing an ensemble architecture. This project was developed for "Computer Aided Diagnosis - CAD" course for MAIA masters program.
ml-experiments
ML Experiments Package
unet-pytorch-segmentation
u-net implementation in PyTorch for medical image segmentation
abdel-habib.github.io
Personal Website
ai-chatbot
An ai-based chatbot that learns and answers questions you ask. It is trained by a set of intents using tensorflow and nltk.
breast-mass-detection-and-segmentation-using-multi-scale-morphological-sifting-and-kmeans-clustering
A mammographic mass detection and segmentation approach using a multi-scale morphological sifting approach integrated with a mean shift filter, k-means, and post-processing that detects and segments breast masses. This approach was on the InBreast mammographic dataset for Image Analysis course in MAIA Master's degree.
COPDgene-CT-registration
Registration of image sets and reference data of inspiratory and expiatory breath-hold CT image pairs acquired from the National Heart Lung Blood Institute COPDgene study archive. This project was developed for a course titled "Medical Image Registration and Applications" - MIRA under MAIA master program.
AI-for-Healthcare-Nanodegree
Projects from AI for Healthcare Nanodegree Program of Udacity.
alzheimer-disease-classification-using-MRIs-and-gene-expression-data
Implementation of various ML and CV approaches on alzheimer disease tabular dataset for a classification task
docker-commands
docker commands documentation with brief description
MAIA-MASTER-TRAFFIC-LIGHT-VIOLATION-SYSTEM
This repository contains the source code and report for Software Engineering course project.
medical-image-registration-and-applications
This repository contains the source code for Medical Image Registration and Applications (MIRA) course for MAIA masters degree.
medical-image-segmentation-and-applications
This repository contains the source code for Medical Image Segmentation and Applications (MISA) course for MAIA masters degree.
PyTorch-Basics
PyTorch approach in machine learning, by applying different concepts and theories of machine learning.
Regularized-General-Eigenvalue-Classifier-ReGEC
Implementation of Regularized General Eigenvalue Classifier (ReGEC) using R
webcam-pulse-detector
A python application that detects and highlights the heart-rate of an individual (using only their own webcam) in real-time.