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

• Published in: BMC medical informatics and decision making Vol. 18; no. 1; p. 50
• Main Authors: Sancen-Plaza, Agustin, Santiago-Montero, Raul, Sossa, Humberto, Perez-Pinal, Francisco J, Martinez-Nolasco, Juan J, Padilla-Medina, Jose A
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 27.06.2018; BioMed Central; BMC
• Subjects: Algorithms; Asymmetry; Automation; Computer aided diagnosis system; Computer-aided medical diagnosis; Correlation analysis; Diagnosis; Diagnosis, Computer-Assisted - methods; Digital binary region; Digital imaging; Evaluation; Fourier transforms; Fractals; Humans; Image classification; Image Interpretation, Computer-Assisted - methods; Image processing; Lesions; Medical diagnosis; Medical imaging; Melanoma; Melanoma - diagnosis; Melanoma asymmetry measurement; Neural networks; Quantitative analysis; Shape analysis; Skin cancer; Skin diseases; Skin Diseases - diagnosis; Symmetry; Translations; Tumors; Digital binary region; Shape analysis; Image processing; Melanoma asymmetry measurement; Computer aided diagnosis system

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), border (B), color...