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Statistics report
Apr
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
  Journal Paper


Paper Title :
Validation Test of Artificial Intelligence Assisted in Pigmented Skin Lesions Diagnosis

Author :Thorfun Treewatanakul, Charturong Tantibundhit, Panlop Chakkavittumrong, Saroj Suvanasuthi

Article Citation :Thorfun Treewatanakul ,Charturong Tantibundhit ,Panlop Chakkavittumrong ,Saroj Suvanasuthi , (2018 ) " Validation Test of Artificial Intelligence Assisted in Pigmented Skin Lesions Diagnosis " , International Journal of Advances in Science, Engineering and Technology(IJASEAT) , pp. 39-41, Volume-6, Issue-3

Abstract : Artificial intelligence(AI) has been reported in high potential in classification of pigmented skin lesions(PSLs) under experimental conditions recently. Thai researchers team has trained the first AI which enable to diagnose PSLs in Thailand. AI showed high sensitivity, specificity, and accuracy in diagnosis up to 80-90%. Although the computer diagnosis of PSLs is accurate under experimental conditions, the practical value of automated diagnostic tool compared to standard is currently unknown. This study aimed to validate the diagnosis performances of AI assisted in PSLs diagnosis compared to Board-certified dermatologist using dermoscopic images. Index Terms - Artificial intelligence, dermoscopy, pigmented skin lesions

Type : Research paper

Published : Volume-6, Issue-3


DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-13097   View Here

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