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딥러닝 기반 영역 정보를 활용한 피부 병변 분류 방법Deep Learning Based Skin Lesion Classification Using Area Information

Other Titles
Deep Learning Based Skin Lesion Classification Using Area Information
Authors
서지원김지훈김해문박경리강경원문영식
Issue Date
Nov-2021
Publisher
대한전자공학회
Citation
2021년 대한전자공학회 추계학술대회 논문집, pp 388 - 391
Pages
4
Indexed
OTHER
Journal Title
2021년 대한전자공학회 추계학술대회 논문집
Start Page
388
End Page
391
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/114958
Abstract
Skin lesions result from abnormal proliferation of cells. Skin lesions have high rate of misdiagnosis due to a wide variety of forms. Recently, a deep learning-based skin lesion classification methods have been proposed but they tend to misclassify lesions with unclear skin lesion boundaries. In this paper, we propose a method for classifying skin lesions using deep neural network with area information. As a result, we show that the performance of our method is improved by 1.7~2.43 in terms of F1-score, compared to the previous methods.
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