Cited 0 times in
Deep learning algorithms for predicting basement membrane involvement of acral lentiginous melanomas
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 오병호 | - |
dc.date.accessioned | 2023-07-12T02:49:45Z | - |
dc.date.available | 2023-07-12T02:49:45Z | - |
dc.date.issued | 2023-03 | - |
dc.identifier.issn | 1605-7422 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/195408 | - |
dc.description.abstract | In Asians, melanoma appears as pigmented lesions on the hands and feet, and is often diagnosed as acral malignant melanoma (ALM) in the late stage with a very poor prognosis. Among diverse clinical characteristics of melanoma, the presence of basement membrane involvement is one of the most important prognostic factors. However, there have been few studies reporting artificial intelligence for prediction of basement membrane involvement in ALMs beyond its diagnosis. Therefore, in this study, we present a deep learning model that predicts the basement membrane involvement of ALMs from dermoscopy images. © 2023 SPIE. | - |
dc.description.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | SPIE | - |
dc.relation.isPartOf | Progress in Biomedical Optics and Imaging - Proceedings of SPIE | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | Deep learning algorithms for predicting basement membrane involvement of acral lentiginous melanomas | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Dermatology (피부과학교실) | - |
dc.contributor.googleauthor | B. Oh | - |
dc.contributor.googleauthor | Y. S. Chu | - |
dc.contributor.googleauthor | S. Lee | - |
dc.contributor.googleauthor | S. G. Lee | - |
dc.contributor.googleauthor | K. Y. Chung | - |
dc.contributor.googleauthor | M. R. Roh | - |
dc.contributor.googleauthor | K. D. Seo | - |
dc.contributor.googleauthor | S. Yang | - |
dc.identifier.doi | 10.1117/12.2648034 | - |
dc.contributor.localId | A02367 | - |
dc.relation.journalcode | J02551 | - |
dc.identifier.url | https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12352/2648034/Deep-learning-algorithms-for-predicting-basement-membrane-involvement-of-acral/10.1117/12.2648034.short | - |
dc.contributor.alternativeName | Oh, Byung Ho | - |
dc.contributor.affiliatedAuthor | 오병호 | - |
dc.citation.volume | 12352 | - |
dc.citation.startPage | 123520D | - |
dc.identifier.bibliographicCitation | Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol.12352 : 123520D, 2023-03 | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.