Literature DB >> 12467721

Irregularity index: a new border irregularity measure for cutaneous melanocytic lesions.

Tim K Lee1, David I McLean, M Stella Atkins.   

Abstract

One of the important clinical features that differentiates benign melanocytic nevi from malignant melanomas is the irregularity of the lesion border. There are two types of border irregularities: texture irregularities, the small variations along the border, and structure irregularities, the global indentations and protrusions. Texture irregularities are subject to noise, whereas structure irregularities may suggest excessive cell growth or regression of a melanoma. We have designed a new algorithm for measuring the structure irregularities in the border. Our algorithm first locates all the local and global indentations and protrusions and organizes them in a hierarchical structure. Then an area-based index, called the irregularity index, is computed for each indentation and protrusion along the border. From the individual irregularity indices, two important new measures, the most significant irregularity index and the overall irregularity index are derived. These two new indices provide a measure of the degree of irregularity along the lesion border. A double-blinded test was performed to examine the effectiveness of these two new indices. Fourteen experienced dermatologists were asked to evaluate the borders of 40 pigmented lesions. The clinical evaluation result was then compared with the two new indices and other published shape measurements. The user study showed that both of the new indices vastly outperformed the other shape descriptors. Moreover, our algorithm captured the knowledge of expert dermatologists in analysing malignancy of a lesion based on its shape alone, indicating that the new measures may be useful for diagnosing melanomas.

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Year:  2003        PMID: 12467721     DOI: 10.1016/s1361-8415(02)00090-7

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  16 in total

1.  Fractal analysis of contours of breast masses in mammograms.

Authors:  Rangaraj M Rangayyan; Thanh M Nguyen
Journal:  J Digit Imaging       Date:  2007-09       Impact factor: 4.056

2.  Automatic detection of blue-white veil and related structures in dermoscopy images.

Authors:  M Emre Celebi; Hitoshi Iyatomi; William V Stoecker; Randy H Moss; Harold S Rabinovitz; Giuseppe Argenziano; H Peter Soyer
Journal:  Comput Med Imaging Graph       Date:  2008-09-19       Impact factor: 4.790

3.  An algorithm for calculi segmentation on ureteroscopic images.

Authors:  Benoît Rosa; Pierre Mozer; Jérôme Szewczyk
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-06-24       Impact factor: 2.924

4.  Fractal characterisation of boundary irregularity in skin pigmented lesions.

Authors:  A Piantanelli; P Maponi; L Scalise; S Serresi; A Cialabrini; A Basso
Journal:  Med Biol Eng Comput       Date:  2005-07       Impact factor: 2.602

5.  Combination of 3D skin surface texture features and 2D ABCD features for improved melanoma diagnosis.

Authors:  Yi Ding; Nigel W John; Lyndon Smith; Jiuai Sun; Melvyn Smith
Journal:  Med Biol Eng Comput       Date:  2015-05-07       Impact factor: 2.602

6.  The radial growth phase of malignant melanoma: multi-phase modelling, numerical simulations and linear stability analysis.

Authors:  P Ciarletta; L Foret; M Ben Amar
Journal:  J R Soc Interface       Date:  2010-07-23       Impact factor: 4.118

7.  Fully Automated Approach for Early Detection of Pigmented Skin Lesion Diagnosis Using ABCD.

Authors:  Mai S Mabrouk; Ahmed Y Sayed; Heba M Afifi; Mariam A Sheha; Amr Sharwy
Journal:  J Healthc Inform Res       Date:  2020-03-03

8.  Detection of basal cell carcinoma using color and histogram measures of semitranslucent areas.

Authors:  William V Stoecker; Kapil Gupta; Bijaya Shrestha; Mark Wronkiewiecz; Raeed Chowdhury; R Joe Stanley; Jin Xu; Randy H Moss; M Emre Celebi; Harold S Rabinovitz; Margarat Oliviero; Joseph M Malters; Isabel Kolm
Journal:  Skin Res Technol       Date:  2009-08       Impact factor: 2.365

9.  Melanoma Detection Using Spatial and Spectral Analysis on Superpixel Graphs.

Authors:  Mahmoud H Annaby; Asmaa M Elwer; Muhammad A Rushdi; Mohamed E M Rasmy
Journal:  J Digit Imaging       Date:  2021-01-07       Impact factor: 4.056

10.  Conditional random fields and supervised learning in automated skin lesion diagnosis.

Authors:  Paul Wighton; Tim K Lee; Greg Mori; Harvey Lui; David I McLean; M Stella Atkins
Journal:  Int J Biomed Imaging       Date:  2011-10-20
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