Identification And Classification of Dental Malocclusions By Utilizing YOLO Algorithm

Jayathilaka, Kshemendra

dc.contributor.author	Jayathilaka, Kshemendra
dc.date.accessioned	2022-12-20T05:36:23Z
dc.date.available	2022-12-20T05:36:23Z
dc.date.issued	2022
dc.identifier.citation	Jayathilaka, Kshemendra (2022) Identification And Classification of Dental Malocclusions By Utilizing YOLO Algorithm. BEng. Dissertation, Informatics Institute of Technology	en_US
dc.identifier.issn	2018180
dc.identifier.uri	http://dlib.iit.ac.lk/xmlui/handle/123456789/1194
dc.description.abstract	To develop a web application for potential malocclusion patients, that provides a generated report on the state of their occlusive health by entering an image of their teeth. The implemented system uses a set of trained YOLO models to detect the type of malocclusion, the severity, and the condition's location. Using the detection the system creates a report that provides the user with information on the results and explains their condition and what they can expect for treatment.	en_US
dc.language.iso	en	en_US
dc.subject	Image processing	en_US
dc.subject	Machine learning	en_US
dc.subject	Dental Malocclusions	en_US
dc.subject	YOLO algorithm	en_US
dc.title	Identification And Classification of Dental Malocclusions By Utilizing YOLO Algorithm	en_US
dc.type	Thesis	en_US