Skripsi

DETEKSI 9 OBJEK JANTUNG JANIN PADA PANDANGAN 4-CHAMBER MENGGUNAKAN ARSITEKTUR FASTER R-CNN

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Penilaian

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The heart is a vital organ and the center of the circulatory system in the human body. The appearance of the four-chamber and outflow tracts of the heart is considered an identifying marker that allows detecting the presence of the fetal heart. This study refers to the view of the four-chamber of the heart, the valves and the aorta. In the detection process, there are several methods that can generally be used to extract the features of all objects in the input image. Faster R-CNN is a method of deep learning which commonly used to detect an object of digital image in real-time. Faster R-CNN architecture consisted of the form of Fast R-CNN and RPN. The best model is obtained by adjusting the learning rate, epoch and batch size. The results were obtained with an mAP value of 90.22% and 93.79% for nine�object and five-object, respectively.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002228	T52646	T526462021	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T526462021

Publisher

Inderalaya : Fakultas Ilmu komputer, Prodi Sistem Komputer., 2021

Collation

xiv, 57 hlm,: ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.707

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)

Prodi Sistem Komputer
Data Sistem Komputer

Specific Detail Info

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Statement of Responsibility

MURZ

Other version/related

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