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Artificial Intelligence in Cutaneous Oncology

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dc.contributor.author오병호-
dc.date.accessioned2020-09-29T04:51:20Z-
dc.date.available2020-09-29T04:51:20Z-
dc.date.issued2020-07-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/179519-
dc.description.abstractSkin cancer, previously known to be a common disease in Western countries, is becoming more common in Asian countries. Skin cancer differs from other carcinomas in that it is visible to our eyes. Although skin biopsy is essential for the diagnosis of skin cancer, decisions regarding whether or not to conduct a biopsy are made by an experienced dermatologist. From this perspective, it is easy to obtain and store photos using a smartphone, and artificial intelligence technologies developed to analyze these photos can represent a useful tool to complement the dermatologist's knowledge. In addition, the universal use of dermoscopy, which allows for non-invasive inspection of the upper dermal level of skin lesions with a usual 10-fold magnification, adds to the image storage and analysis techniques, foreshadowing breakthroughs in skin cancer diagnosis. Current problems include the inaccuracy of the available technology and resulting legal liabilities. This paper presents a comprehensive review of the clinical applications of artificial intelligence and a discussion on how it can be implemented in the field of cutaneous oncology.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherFrontiers Media S.A.-
dc.relation.isPartOfFRONTIERS IN MEDICINE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleArtificial Intelligence in Cutaneous Oncology-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Dermatology (피부과학교실)-
dc.contributor.googleauthorYu Seong Chu-
dc.contributor.googleauthorHong Gi An-
dc.contributor.googleauthorByung Ho Oh-
dc.contributor.googleauthorSejung Yang-
dc.identifier.doi10.3389/fmed.2020.00318-
dc.contributor.localIdA02367-
dc.relation.journalcodeJ03762-
dc.identifier.eissn2296-858X-
dc.identifier.pmid32754606-
dc.subject.keywordartificial intellegence-
dc.subject.keywordcutaneous oncology-
dc.subject.keyworddeep learning-
dc.subject.keywordmachine learning-
dc.subject.keywordskin cancer-
dc.contributor.alternativeNameOh, Byung Ho-
dc.contributor.affiliatedAuthor오병호-
dc.citation.volume7-
dc.citation.startPage318-
dc.identifier.bibliographicCitationFRONTIERS IN MEDICINE, Vol.7 : 318, 2020-07-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Dermatology (피부과학교실) > 1. Journal Papers

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