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