Skripsi

SISTEM DETEKSI KEBOCORAN JANTUNG MENGGUNAKAN METODE FASTER R-CNN

---

Penilaian

---

Leaky heart disease is a disease of heart valve abnormalities. Diseases called congenital heart defects, are abnormalities in the structure of the heart from birth. This method of examining congenital heart disease can be done with the help of echocardiography. Echocardiography is a tool used for medical examination methods by utilizing high-frequency sound waves to capture the structure of the heart. From the data recorded by the echocardiographic device, the expert can diagnose a leak in the fetal heart valve. This study limits the problem of the location of the leak in the heart valve into three types of heart leakage, namely atrial septal defect (ASD), ventricular septal defect (VSD), and atrioventricular septal defect (AVSD). This heart valve leak detection research method uses faster R-CNN with input and output data in the form of image data that are labeled before and after prediction. The architectures used in this research are VGG16, MobileNetV1 and Resnet50. The final result of the study based on the MAP value, loss value and the number of objects detected correctly is the VGG16 architecture with a MAP value of 89%.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2107004718	T66189	T661892021	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T661892021

Publisher

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

Collation

xvi, 89 hlm. : ilus. ; 29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

005.507

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

-

Subject(s)

Prodi Sistem Komputer
Sistem Aplikasi-Program Khusus

Specific Detail Info

-

Statement of Responsibility

DS

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment