Skripsi

SEGMENTASI CITRA JANTUNG ANAK MENGGUNAKAN METODE YOLO

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Child heart image segmentation is a crucial step in medical analysis for the diagnosis of heart diseases. In this study, we utilize the You Only Look Once (YOLO) method for the segmentation of child heart images. YOLO is a well known deep learning model in object detection due to its ability to perform real time detection with high accuracy. We collected a dataset of child heart images, performed manual annotation, and trained the YOLO model for segmentation. The performance of the model was evaluated using the Mean Average Precision (mAP) metric, with results indicating that this method is effective for child heart image segmentation. This model is expected to assist in the faster and more accurate diagnosis of pediatric heart diseases. Keywords : Deep Learning, Infant Hearts, YOLO

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Availability

Detail Information

Series Title

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Call Number

T1562312024

Publisher

Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024

Collation

xiii, 66 hlm.; ilus.; tab, 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

006.370 7

Content Type

Text

Media Type

unmediated

Carrier Type

other (computer)

Edition

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Subject(s)

Prodi Sistem Komputer
Visi Komputer

Specific Detail Info

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Statement of Responsibility

SEW

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