Literature DB >> 16648914

Asymmetry in dermoscopic melanocytic lesion images: a computer description based on colour distribution.

Stefania Seidenari1, Giovanni Pellacani, Costantino Grana.   

Abstract

Digital dermoscopy improves the accuracy of melanoma diagnosis. The aim of this study was to develop and validate software for assessment of asymmetry in melanocytic lesion images, based on evaluation of colour symmetry, and to compare it with assessment by human observers. An image analysis program enabling numerical assessment of asymmetry in melanocytic lesions, based on the evaluation and comparison of CIE L*a*b* colour components (CIE L*a*b* is the name of a colour space defined by the Commission Internationale de l'Eclairage) inside image colour blocks, was employed on the recorded lesion images. Clinical evaluation of asymmetry in dermoscopic images was performed on the same image set employing a 0-1 scoring system. Asymmetry judgement was expressed by the clinicians for 12.8% of benign naevi, 44.7% of atypical naevi and 64.2% of malignant melanomas, whereas the computer identified as asymmetric 6.3%, 33.3% and 82.2%, respectively. Numerical parameters referring to malignant melanomas were significantly higher, both with respect to benign naevi and atypical naevi. The numerical parameters produced could be effectively employed for computer-aided melanoma diagnosis.

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Year:  2006        PMID: 16648914     DOI: 10.2340/00015555-0043

Source DB:  PubMed          Journal:  Acta Derm Venereol        ISSN: 0001-5555            Impact factor:   4.437


  6 in total

Review 1.  Distribution quantification on dermoscopy images for computer-assisted diagnosis of cutaneous melanomas.

Authors:  Zhao Liu; Jiuai Sun; Lyndon Smith; Melvyn Smith; Robert Warr
Journal:  Med Biol Eng Comput       Date:  2012-03-22       Impact factor: 2.602

2.  Visual inspection and dermoscopy, alone or in combination, for diagnosing keratinocyte skin cancers in adults.

Authors:  Jacqueline Dinnes; Jonathan J Deeks; Naomi Chuchu; Rubeta N Matin; Kai Yuen Wong; Roger Benjamin Aldridge; Alana Durack; Abha Gulati; Sue Ann Chan; Louise Johnston; Susan E Bayliss; Jo Leonardi-Bee; Yemisi Takwoingi; Clare Davenport; Colette O'Sullivan; Hamid Tehrani; Hywel C Williams
Journal:  Cochrane Database Syst Rev       Date:  2018-12-04

3.  Dermoscopy, with and without visual inspection, for diagnosing melanoma in adults.

Authors:  Jacqueline Dinnes; Jonathan J Deeks; Naomi Chuchu; Lavinia Ferrante di Ruffano; Rubeta N Matin; David R Thomson; Kai Yuen Wong; Roger Benjamin Aldridge; Rachel Abbott; Monica Fawzy; Susan E Bayliss; Matthew J Grainge; Yemisi Takwoingi; Clare Davenport; Kathie Godfrey; Fiona M Walter; Hywel C Williams
Journal:  Cochrane Database Syst Rev       Date:  2018-12-04

4.  Visual inspection for diagnosing cutaneous melanoma in adults.

Authors:  Jacqueline Dinnes; Jonathan J Deeks; Matthew J Grainge; Naomi Chuchu; Lavinia Ferrante di Ruffano; Rubeta N Matin; David R Thomson; Kai Yuen Wong; Roger Benjamin Aldridge; Rachel Abbott; Monica Fawzy; Susan E Bayliss; Yemisi Takwoingi; Clare Davenport; Kathie Godfrey; Fiona M Walter; Hywel C Williams
Journal:  Cochrane Database Syst Rev       Date:  2018-12-04

Review 5.  Incorporating Colour Information for Computer-Aided Diagnosis of Melanoma from Dermoscopy Images: A Retrospective Survey and Critical Analysis.

Authors:  Ali Madooei; Mark S Drew
Journal:  Int J Biomed Imaging       Date:  2016-12-19

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

Authors:  Agustin Sancen-Plaza; Raul Santiago-Montero; Humberto Sossa; Francisco J Perez-Pinal; Juan J Martinez-Nolasco; Jose A Padilla-Medina
Journal:  BMC Med Inform Decis Mak       Date:  2018-06-27       Impact factor: 2.796

  6 in total

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