Literature DB >> 1623494

Automatic detection of asymmetry in skin tumors.

W V Stoecker1, W W Li, R H Moss.   

Abstract

Asymmetry, a critical feature in the diagnosis of malignant melanoma, is analyzed using a new algorithm to find a major axis of asymmetry and calculate the degree of asymmetry of the tumor outline. The algorithm provides a new objective definition of asymmetry. A dermatologist classified 86 tumors as symmetric or asymmetric. Borders of tumors were found either manually or automatically using a radial search method. With either method, asymmetry determination by the asymmetry algorithm agreed with the dermatologist's determination of asymmetry in about 93% of cases.

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Year:  1992        PMID: 1623494     DOI: 10.1016/0895-6111(92)90073-i

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  17 in total

1.  A relative color approach to color discrimination for malignant melanoma detection in dermoscopy images.

Authors:  R Joe Stanley; William V Stoecker; Randy H Moss
Journal:  Skin Res Technol       Date:  2007-02       Impact factor: 2.365

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.  A systematic heuristic approach for feature selection for melanoma discrimination using clinical images.

Authors:  Ying Chang; R Joe Stanley; Randy H Moss; William Van Stoecker
Journal:  Skin Res Technol       Date:  2005-08       Impact factor: 2.365

Review 4.  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

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.  Colour analysis of skin lesion regions for melanoma discrimination in clinical images.

Authors:  Jixiang Chen; R Joe Stanley; Randy H Moss; William Van Stoecker
Journal:  Skin Res Technol       Date:  2003-05       Impact factor: 2.365

7.  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

8.  A basis function feature-based approach for skin lesion discrimination in dermatology dermoscopy images.

Authors:  R Joe Stanley; William V Stoecker; Randy H Moss; Harold S Rabinovitz; Armand B Cognetta; Giuseppe Argenziano; H Peter Soyer
Journal:  Skin Res Technol       Date:  2008-11       Impact factor: 2.365

9.  Colour histogram analysis for melanoma discrimination in clinical images.

Authors:  Yunus Faziloglu; R Joe Stanley; Randy H Moss; William Van Stoecker; Rob P McLean
Journal:  Skin Res Technol       Date:  2003-05       Impact factor: 2.365

10.  A fuzzy-based histogram analysis technique for skin lesion discrimination in dermatology clinical images.

Authors:  R Joe Stanley; Randy Hays Moss; William Van Stoecker; Chetna Aggarwal
Journal:  Comput Med Imaging Graph       Date:  2003 Sep-Oct       Impact factor: 4.790

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