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

Habiba Omran Thesis

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.

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