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Found 2 from your keywords: subject="Penyakit Kanker Servi...
cover
PENGEMBANGAN MODEL SEGMENTASI LESI CITRA PRA-KANKER SERVIKS MENGGUNAKAN YOLO …
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Huda, Syafaat Muhammad Bahril

Cervical cancer is one of the leading causes of morbidity and mortality among women, making early detection of precancerous lesions essential. However, lesion segmentation in cervical images still faces several challenges, including unclear object boundaries, illumination variations, imaging artifacts, and class imbalance between lesion and background, which reduce the performance of deep learn…

Edition
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ISBN/ISSN
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Collation
xviii, 181 hlm.; ilus.; tab.; 29 cm.
Series Title
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Call Number
T2000472026
cover
PENINGKATAN KINERJA SEGMENTASI CITRA PRA-KANKER SERVIKS MELALUI AUGMENTASI DA…
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Vindriani, Marsella

Cervical cancer is a leading cause of death among women. The subjectivity of Visual Inspection with Acetic Acid (VIA) screening encourages the use of Artificial Intelligence (AI) for medical image segmentation automation. However, limited datasets frequently cause model overfitting. This research aims to improve the segmentation performance of cervical precancerous images on the YOLOv11-seg mod…

Edition
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ISBN/ISSN
-
Collation
xiii, 98 hlm.; ilus.; tab.; 29 cm.
Series Title
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Call Number
T2000512026