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DETEKSI KEPALA JANIN PADA OBJEK TRANSTHALAMIC CITRA ULTRASONOGRAFI (USG) 2 DIMENSI (2D) MENGGUNAKAN METODE U-NET DAN FASTER R-CNN

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Penilaian

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The head of the fetus is one part that is widely studied by experts because it has important information related to the health condition of the fetus. Research in the field of the fetal head requires a very long process and must be carried out with the help of competent medical personnel. One way that can be used to see the condition, development, and age of the fetus, can be done by detecting the fetal head, especially on trasnthalamic objects which are characterized by several factors, including the hyppocampal gyrus and thalami. There are various ways of detection algorithms, one of the algorithms that can be used is deep learning to accurately identify objects contained in the transthalamic. In this study, the fetal head detection process on transthalamic objects was segmented first using U-Net and continued with detection using Faster R-CNN. The results of this study obtained the best segmentation model in epoch 1000 and batch size 64, and the detection accuracy of Faster R-CNN mAP 89%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207003632	T78715	T787152022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T787152022

Publisher

Inderalaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022

Collation

xvi, 569 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.650 7

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Jurusan Sistem Komputer
, Jaringan komunikasih komputer

Specific Detail Info

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Statement of Responsibility

SEPTA

Other version/related

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