반려동물 질병 진단 보조를 위한 딥러닝 프레임워크
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김상하 | - |
dc.contributor.author | 남기쁨 | - |
dc.contributor.author | 김시은 | - |
dc.contributor.author | 동서연 | - |
dc.date.accessioned | 2023-11-08T07:45:18Z | - |
dc.date.available | 2023-11-08T07:45:18Z | - |
dc.date.issued | 2022-12 | - |
dc.identifier.issn | 1229-7771 | - |
dc.identifier.uri | https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/152200 | - |
dc.description.abstract | To date, the number of people who have companion animals has gradually increased and the need for advancement in veterinary care and pet health care has been increased. Deep learning models are taking their places in healthcare and can be used for detecting diseases. We aimed to build and validate a framework for auxiliary diagnosis of pet diseases in everyday life before hospital visits. Our framework utilizes disease image classification and natural language models with Swin-Transformer and Bidirectional Encoder Representations from Transformers as the backbone, respectively, and both presented the accuracy of 84.5% and 84%, respectively. This proposed framework can be useful in understanding animals’ symptoms for pet owners as well as assisting a veterinarian for diagnosis. | - |
dc.format.extent | 10 | - |
dc.language | 한국어 | - |
dc.language.iso | KOR | - |
dc.publisher | 한국멀티미디어학회 | - |
dc.title | 반려동물 질병 진단 보조를 위한 딥러닝 프레임워크 | - |
dc.title.alternative | A Framework for Auxiliary Diagnosis of Pet Disease using Deep Learning | - |
dc.type | Article | - |
dc.publisher.location | 대한민국 | - |
dc.identifier.doi | 10.9717/kmms.2022.25.12.1804 | - |
dc.identifier.bibliographicCitation | 멀티미디어학회논문지, v.25, no.12, pp 1804 - 1813 | - |
dc.citation.title | 멀티미디어학회논문지 | - |
dc.citation.volume | 25 | - |
dc.citation.number | 12 | - |
dc.citation.startPage | 1804 | - |
dc.citation.endPage | 1813 | - |
dc.identifier.kciid | ART002912188 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Animal Healthcare | - |
dc.subject.keywordAuthor | Image Classification | - |
dc.subject.keywordAuthor | Swin-Transformer | - |
dc.subject.keywordAuthor | Chatbot | - |
dc.subject.keywordAuthor | Natural Language Processing | - |
dc.subject.keywordAuthor | BERT | - |
dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11186553 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Sookmyung Women's University. Cheongpa-ro 47-gil 100 (Cheongpa-dong 2ga), Yongsan-gu, Seoul, 04310, Korea02-710-9127
Copyright©Sookmyung Women's University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.