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Artificial Intelligence-Based Identification of Common Canine Skin Lesions From Clinical Images.

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Title: Artificial Intelligence-Based Identification of Common Canine Skin Lesions From Clinical Images.
Authors: Kang SY; Laboratory of Veterinary Dermatology and the Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul, Korea., Kang YH; Laboratory of Veterinary Dermatology and the Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul, Korea.; Western Animal Medical Center, Seoul, Korea., Kim HJ; AIFORPET Corporation, Seoul, Korea., Huh EA; AIFORPET Corporation, Seoul, Korea., Jeon JS; AIFORPET Corporation, Seoul, Korea., Kim HS; AIFORPET Corporation, Seoul, Korea., Kim MS; Laboratory of Veterinary Dermatology and the Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul, Korea., Tiwari A; Suvidha Pet Care and Derma Centre, Jammu, Jammu and Kashmir, India., Hwang CY; Laboratory of Veterinary Dermatology and the Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul, Korea.
Source: Veterinary dermatology [Vet Dermatol] 2026 Aug; Vol. 37 (4), pp. 471-477. Date of Electronic Publication: 2026 May 01.
Publication Type: Journal Article
Journal Info: Publisher: Blackwell Science Country of Publication: England NLM ID: 9426187 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-3164 (Electronic) Linking ISSN: 09594493 NLM ISO Abbreviation: Vet Dermatol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Artificial Intelligence-Based Identification of Common Canine Skin Lesions From Clinical Images.
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  Data: <searchLink fieldCode="AU" term="%22Kang+SY%22">Kang SY</searchLink>; Laboratory of Veterinary Dermatology and the Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Kang+YH%22">Kang YH</searchLink>; Laboratory of Veterinary Dermatology and the Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul, Korea.; Western Animal Medical Center, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Kim+HJ%22">Kim HJ</searchLink>; AIFORPET Corporation, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Huh+EA%22">Huh EA</searchLink>; AIFORPET Corporation, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Jeon+JS%22">Jeon JS</searchLink>; AIFORPET Corporation, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Kim+HS%22">Kim HS</searchLink>; AIFORPET Corporation, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Kim+MS%22">Kim MS</searchLink>; Laboratory of Veterinary Dermatology and the Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Tiwari+A%22">Tiwari A</searchLink>; Suvidha Pet Care and Derma Centre, Jammu, Jammu and Kashmir, India.<br /><searchLink fieldCode="AU" term="%22Hwang+CY%22">Hwang CY</searchLink>; Laboratory of Veterinary Dermatology and the Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul National University, Seoul, Korea.
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  Data: <searchLink fieldCode="JN" term="%229426187%22">Veterinary dermatology</searchLink> [Vet Dermatol] 2026 Aug; Vol. 37 (4), pp. 471-477. <i>Date of Electronic Publication: </i>2026 May 01.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Blackwell+Science%22">Blackwell Science </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9426187 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1365-3164 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209594493%22">09594493 </searchLink><i>NLM ISO Abbreviation: </i>Vet Dermatol <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1111/vde.70083
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      – Code: eng
        Text: English
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        StartPage: 471
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      – TitleFull: Artificial Intelligence-Based Identification of Common Canine Skin Lesions From Clinical Images.
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            – D: 01
              M: 08
              Text: 2026 Aug
              Type: published
              Y: 2026
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              Value: 37
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