CerviScan is a machine learning project for early detection of cervical pre-cancer using color moments and texture features extracted from post-VIA colposcopy images. This research evaluates multiple color spaces, feature fusion strategies, and traditional ML classifiers such as XGBoost and AdaBoost to improve diagnostic performance.
machine-learning computer-vision medical-imaging feature-extraction xgboost classification research-project adaboost preprocessing biomedical-engineering texture-analysis color-moments colposcopy cervical-cancer multi-otsu-thresholding
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Updated
Nov 16, 2025 - Python