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)...
Main Authors: | Agustin Sancen-Plaza, Raul Santiago-Montero, Humberto Sossa, Francisco J. Perez-Pinal, Juan J. Martinez-Nolasco, Jose A. Padilla-Medina |
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Format: | Article |
Language: | English |
Published: |
BMC
2018-06-01
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Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12911-018-0641-7 |
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