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Found 1 from your keywords: author=Putri, Zahra Maharani
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ANALISIS HYBRID FEATURE ENGINEERING UNTUK PENENTUAN TINGKAT KEPARAHAN LESI PR…
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Putri, Zahra Maharani

Visual diagnosis via colposcopy is prone to observer subjectivity, making a more objective computational system necessary. This study explores two approaches: hybrid feature engineering (color, texture, contour) using machine learning (ML) via a rule-based system that adapts the Sweden score method, and end-to-end architectures based on YOLO (v8, v11, v12, v26). The dataset is sourced from the …

Edition
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ISBN/ISSN
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Collation
xvi, 125 hlm.; ilus.; tab.; 29 cm.
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Call Number
T2000382026