SISTEM KLASIFIKASI LESI KULIT PADA CITRA DERMOSCOPY BERBASIS CONVOLUTIONAL NEURAL NETWORK

PRATIWI, RENNY AMALIA and Nurmaini, Siti and Rini, Dian Palupi (2020) SISTEM KLASIFIKASI LESI KULIT PADA CITRA DERMOSCOPY BERBASIS CONVOLUTIONAL NEURAL NETWORK. Master thesis, Sriwijaya University.

	Text RAMA_55101_09042681822004.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (10MB) | Request a copy
	Text RAMA_55101_09042681822004_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (14MB) | Request a copy
Preview	Text RAMA_55101_09042681822004_0002085908_0023027804_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (1MB) | Preview
	Text RAMA_55101_09042681822004_0002085908_0023027804_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_55101_09042681822004_0002085908_0023027804_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_55101_09042681822004_0002085908_0023027804_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_55101_09042681822004_0002085908_0023027804_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (16kB) | Request a copy
	Text RAMA_55101_09042681822004_0002085908_0023027804_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (149kB) | Request a copy
	Text RAMA_55101_09042681822004_0002085908_0023027804_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (6MB) | Request a copy

Abstract

Melanoma cancer has caused many deaths in the world. Therefore early detection, identification, and classification of skin lesions are very important in the diagnosis which can affect the survival of patients. Melanoma cancer can be detected using digital imaging called dermoscopy. Medical diagnosis using dermoscopy images with an automatic computerized system is very necessary for classifying the types of skin lesions both benign and malignant skin lesions. The classification of dermoscopy images has been studied and developed in many literature using various methods. This research will design a classification system for skin lesions using the Convolutional Neural Network (CNN) method so that it can identify dermoscopy images in several diagnostic categories. The research results obtained that the system can classify 7 classes of skin lesions with very good results. This study achieved average accuracy, average precision, average sensitivity, average specificity, and average F1 score were 97.23%, 90.12%, 97.73%, 82.01%, and 85.01% respectively.

Item Type:	Thesis (Master)
Uncontrolled Keywords:	Skin lesion, melanoma, dermoscopy image, convolutional neural network
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. R Medicine > R Medicine (General) > R858-859.7 Computer applications to medicine. Medical informatics
Divisions:	09-Faculty of Computer Science > 55101-Informatics (S2)
Depositing User:	Users 6363 not found.
Date Deposited:	14 Jul 2020 01:56
Last Modified:	14 Jul 2020 01:56
URI:	http://repository.unsri.ac.id/id/eprint/31205

Actions (login required)

View Item