Quantitative evaluation of binary digital region asymmetry with application to skin lesion detection

Quantitative evaluation of binary digital region asymmetry with application to skin lesion detection

Abstract Background The performance of Computer Aided Diagnosis Systems for early melanoma detection relies mainly on quantitative evaluation of the geometric features corresponding to skin lesions. In these systems, diagnosis is carried out by analyzing four geometric characteristics: asymmetry (A)...

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Bibliographic Details
Main Authors: Agustin Sancen-Plaza, Raul Santiago-Montero, Humberto Sossa, Francisco J. Perez-Pinal, Juan J. Martinez-Nolasco, Jose A. Padilla-Medina
Format: Article
Language:English
Published: BMC 2018-06-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Melanoma asymmetry measurement
Shape analysis
Digital binary region
Image processing
Computer aided diagnosis system
Online Access:http://link.springer.com/article/10.1186/s12911-018-0641-7

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http://link.springer.com/article/10.1186/s12911-018-0641-7

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