REKONTRUKSI KEPALA JANIN PADA OBJEK TRANSCEREBELLAR DARI CITRA ULTRASONOGRAFI 2D MENJADI 3D MENGGUNAKAN METODE PIFuHD 3D

RABI, MUHAMMAD FARIS and Erwin, Erwin (2022) REKONTRUKSI KEPALA JANIN PADA OBJEK TRANSCEREBELLAR DARI CITRA ULTRASONOGRAFI 2D MENJADI 3D MENGGUNAKAN METODE PIFuHD 3D. Undergraduate thesis, Sriwijaya University.

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Abstract

Researchers especially in the medical field have done a lot of research on the fetus. Where the research has a long process and requires a large amount of money. Research on the fetal head can be carried out by detecting the fetus so that the medical team can read the age condition of the fetus after the detection process is carried out. Detection of the fetal head, especially Transcerebellar objects, can be read by the medical team by knowing the general characteristics of these Transcerebellar objects. Among other common features in Transcerebellar are Cerebellar Hemi and Cisterna Magna. The algorithm used is deep learning. To get accurate results on research on the fetal head, namely Segmentation with the U-Net Method and Reconstruction using the PIFuHD 3d method in order to get more accurate results. Of the 19 images that have been reconstructed, 15 images are close to transcerebellar objects and 4 images are not close to transcerebellar objects.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Deteksi Kepala Janin , Deep Learning, U-Net, PIFuHD, dan Transcerebellar
Subjects:	T Technology > T Technology (General) > T58.4 Managerial control systems Information technology. Information systems (General) T Technology > T Technology (General) > T59.4 Mechanization T Technology > T Technology (General) > T59.5 Automation
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Muhammad Faris Rabi
Date Deposited:	06 Jan 2023 05:00
Last Modified:	06 Jan 2023 05:00
URI:	http://repository.unsri.ac.id/id/eprint/85384

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