KURNIAWAN, BIMA and Nurmaini, Siti (2021) KLASIFIKASI SUDUT PANDANG ULTRASONOGRAPHY (USG) PADA JANTUNG FETAL MENGGUNAKAN HISTOGRAM OF ORIENTED GRADIENT (HOG) DAN SUPPORT VECTOR MACHINE (SVM). Undergraduate thesis, Sriwijaya University.
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Abstract
Generally human hearts have four inner segments, including the Right Upper Atrium, Left Upper Atrium, Right Lower Ventricle, and Left Lower Ventricle. By using ultrasound, we can see the process of image capturing of the fetal heart, fetal heart’s have 4 classes of screening view including Four Chamber View (FCV), Left Ventricular Outflow Tract (LVOT), Right Ventricular Outflow Tract (RVOT), dan Three Vessel of Trachea (TVT). Histogram of Oriented Gradient (HOG) and Support Vector Machine (SVM) are the methods used by the author. The raw dataset thas is used is in the form of a video from the journal of Hunter L.E et al, from the Radiopedia website, and the Intersocietal Accreditation Commision YouTube. This study aims to classify the 4 classes screening view, the parameters that determine the 4 classes are classified properly, they are accuracy, precision, recall, dan F1-score. The classification resulted from the HOG and SVM methods is accuracy 78.75%, precision 75.5%, recall 75.25%, F1-score 74.75%.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Fetal Heart, Histogram of Oriented Gradient, Augmented Data, Support Vector Machine, Ultrasonography. |
Subjects: | Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. |
Divisions: | 09-Faculty of Computer Science > 56201-Computer Systems (S1) |
Depositing User: | Users 9963 not found. |
Date Deposited: | 20 Jan 2021 06:19 |
Last Modified: | 20 Jan 2021 06:19 |
URI: | http://repository.unsri.ac.id/id/eprint/40651 |
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