반려동물 질병 진단 보조를 위한 딥러닝 프레임워크A Framework for Auxiliary Diagnosis of Pet Disease using Deep Learning
- Other Titles
- A Framework for Auxiliary Diagnosis of Pet Disease using Deep Learning
- Authors
- 김상하; 남기쁨; 김시은; 동서연
- Issue Date
- Dec-2022
- Publisher
- 한국멀티미디어학회
- Keywords
- Animal Healthcare; Image Classification; Swin-Transformer; Chatbot; Natural Language Processing; BERT
- Citation
- 멀티미디어학회논문지, v.25, no.12, pp 1804 - 1813
- Pages
- 10
- Journal Title
- 멀티미디어학회논문지
- Volume
- 25
- Number
- 12
- Start Page
- 1804
- End Page
- 1813
- URI
- https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/152200
- DOI
- 10.9717/kmms.2022.25.12.1804
- ISSN
- 1229-7771
- 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.
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