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Updated
Dec 3, 2020 - Jupyter Notebook
#
pap-smear
Here are 3 public repositories matching this topic...
pipeline clustering svm seaborn feature-selection pca-analysis logistic-regression matplotlib decision-trees knn heatmaps hierarchical-clustering bagging gridsearchcv pap-smear
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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Feb 12, 2026 - Jupyter Notebook
(WIP) PyTorch/TensorFlow powered semantic segmentation software for cytological slides
python deep-learning tensorflow healthcare medical-imaging image-segmentation unet digital-pathology pathology cytology medical-ai cervical-cancer medical-diagnosis pap-smear
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Jan 12, 2026 - Python
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