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Image of DETEKSI CACAT SEPTUM PADA JANTUNG JANIN SECARA REAL-TIME MENGGUNAKAN ARSITEKTUR MASK-RCNN

Skripsi

DETEKSI CACAT SEPTUM PADA JANTUNG JANIN SECARA REAL-TIME MENGGUNAKAN ARSITEKTUR MASK-RCNN

Jovandy, Adithia - Personal Name;

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Penilaian anda saat ini :  

Congenital heart disease (CHD) or often referred to as congenital heart disease is a disease that causes the most common morbidity of death in developing and developed countries. Congenital heart defects have a mortality prevalence of between 5 and 9 in 1000 births, heart defects often occur in the first year of birth. In the medical world, the state of the heart can be detected through Ultrasonography (USG). The position of the hole in the heart in this study focused on the hole in each class, the atrial septal defect (ASD), the hole that is between the right and left atria. Furthermore, the ventricular septal defect (VSD) is the hole between the right and left ventricles, and the hole between the ASD and VSD is an atrioventricular septal defect (AVSD). The method used is object detection and segmentation of the Mask-RCNN architecture with a convolutional Neural network (CNN). The backbone used in this research is Resnet50 and Resnet101. The best model is obtained by adjusting the learning rate, epoch and batch size which has been increased, from the best model is obtained by using the resnet50 backbone with a Map value of 47%, IoU of 65%, Dsc of 71% and FPS of 10


Availability
Inventory Code Barcode Call Number Location Status
2107002555T46710T467102021Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T467102021
Publisher
Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Uniersitas Sriwijaya., 2021
Collation
xv, 53 hlm,: ilus,; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
005.707
Content Type
Text
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Prodi Sistem Komputer
Data Sistem Komputer
Specific Detail Info
-
Statement of Responsibility
MURZ
Other version/related

No other version available

File Attachment
  • DETEKSI CACAT SEPTUM PADA JANTUNG JANIN SECARA REAL-TIME MENGGUNAKAN ARSITEKTUR MASK-RCNN
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