Habiba Omran Thesis
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Updated
Jan 7, 2024 - Jupyter Notebook
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sipakmed
Here are 3 public repositories matching this topic...
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.
bioinformatics deep-learning pytorch medical-imaging image-classification cell-segmentation digital-pathology cytology fastapi medical-ai cervical-screening cervical-cancer mobilevit sipakmed health-it-ai-research
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Updated
Jan 27, 2026 - Python
Cervical cancer prediction via the SIPaKMeD dataset. Compares HOG handcrafted features vs. VGG16 deep learning. Uses KMeans & SVM to achieve 87% accuracy in Pap smear cell classification. Created for the Computational Vision course.
python computer-vision deep-learning tensorflow svm medical-imaging vgg16 computer-vision-algorithms cancer-prediction pap-smear sipakmed
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Updated
Feb 12, 2026 - Jupyter Notebook
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