sipakmed

This project presents an innovative hybrid artificial intelligence model developed for the automated detection and classification of abnormal cervical cells using Pap smear images.

End-to-end AI workflow for cervical cytology using MobileViT and Cellpose. Features automated cell segmentation, classification on SIPaKMeD, and PDF clinical reporting via FastAPI.

Habiba Omran Thesis

AI-powered cervical cytology classification

Cervical cell classification project comparing VGG16 deep learning vs HOG feature extraction, alongside core computational vision labs.

Research implementation of an EfficientNet-B0 Region-Graph Attention Network with a Fuzzy Confidence Head for five-class cervical cytology classification on SIPaKMeD.