SEGMENTASI DAN KLASIFIKASI DERAJAT LUKA BAKAR MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK (CNN)

Mohammad Ardabily Assakhy Habibi, 3011810030 (2022) SEGMENTASI DAN KLASIFIKASI DERAJAT LUKA BAKAR MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK (CNN). Undergraduate thesis, Universitas Internasional Semen Indonesia.

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Abstract

Luka bakar merupakan sebuah kerusakan pada area kulit tubuh yang dapat disebabkan oleh trauma panas atau trauma dingin (frost bite). Penyebab luka bakar adalah, api, air panas, listrik, kimia, radiasi, dan trauma dingin. Berdasarkan kedalaman jaringan karakteristik luka bakar dibagi menjadi 3 klasifikasi besar, yaitu luka bakar superficial, mid dan deep. Penelitian ini bertujuan untuk melakukan segmentasi dan mengklasifikasikan derajat luka bakar dari gambar citra menggunakan algoritma Convolutional Neural Network (CNN). Pada penelitian ini akan digunakan arsitektur Mask R-CNN dengan modifikasi backbone. Hasil terbaik didapatkan pada backbone dengan tipe X101-FPN dengan mendapatkan Average Precision (AP) sebesar 53.554.

Item Type: Thesis (Undergraduate)
Additional Information: Softfile/KK.22/UISI-01/IF
Uncontrolled Keywords: Segmentasi, Klasifikasi, Luka Bakar, CNN
Contributors:
ContributionNameEmail
Thesis advisorMohammad Arif Rasyidi, S.Kom., M.Sc.mohammad.rasyidi@uisi.ac.id
Thesis advisorDr. Iswarno Doso Saputro, dr., SpBP-RE (K)iswarno@yahoo.com
Subjects: T Technology > T Technology (General)
Divisions: Department of Informatics
Depositing User: Mohammad Ardabily Assakhy Habibi
Date Deposited: 24 Aug 2022 19:58
Last Modified: 24 Aug 2022 19:58
URI: https://repository.uisi.ac.id/id/eprint/3704

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