Literature DB >> 26504638

Methodology for diagnosing of skin cancer on images of dermatologic spots by spectral analysis.

Esperanza Guerra-Rosas1, Josué Álvarez-Borrego2.   

Abstract

In this paper a new methodology for the diagnosing of skin cancer on images of dermatologic spots using image processing is presented. Currently skin cancer is one of the most frequent diseases in humans. This methodology is based on Fourier spectral analysis by using filters such as the classic, inverse and k-law nonlinear. The sample images were obtained by a medical specialist and a new spectral technique is developed to obtain a quantitative measurement of the complex pattern found in cancerous skin spots. Finally a spectral index is calculated to obtain a range of spectral indices defined for skin cancer. Our results show a confidence level of 95.4%.

Entities:  

Keywords:  (070.2615) Frequency filtering; (100.2000) Digital image processing

Year:  2015        PMID： 26504638      PMCID： PMC4605047          DOI： 10.1364/BOE.6.003876

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN： 2156-7085            Impact factor:   3.732


  15 in total

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Authors:  A A Awwal; M A Karim; S R Jahan
Journal:  Appl Opt       Date:  1990-01-10       Impact factor: 1.980

3.  Performance measures for correlation filters.

Authors:  B V Kumar; L Hassebrook
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4.  A methodological approach to the classification of dermoscopy images.

Authors:  M Emre Celebi; Hassan A Kingravi; Bakhtiyar Uddin; Hitoshi Iyatomi; Y Alp Aslandogan; William V Stoecker; Randy H Moss
Journal:  Comput Med Imaging Graph       Date:  2007-03-26       Impact factor: 4.790

5.  Effects on skills and practice from a web-based skin cancer course for primary care providers.

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Review 6.  Guidelines for the management of basal cell carcinoma.

Authors:  N R Telfer; G B Colver; C A Morton
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Authors:  Konstantin Korotkov; Rafael Garcia
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8.  Automated prescreening of pigmented skin lesions using standard cameras.

Authors:  Pablo G Cavalcanti; Jacob Scharcanski
Journal:  Comput Med Imaging Graph       Date:  2011-04-12       Impact factor: 4.790

Review 9.  Skin cancer in immunosuppressed patients.

Authors:  Elizabeth A Gordon Spratt; John A Carucci
Journal:  Facial Plast Surg       Date:  2013-09-13       Impact factor: 1.446

10.  Basal cell carcinoma and squamous cell carcinoma growth rates and determinants of size in community patients.

Authors:  Anne Kricker; Bruce Armstrong; Vibeke Hansen; Alan Watson; Gurpreet Singh-Khaira; Christophe Lecathelinais; Chris Goumas; Afaf Girgis
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  4 in total

1.  Identification of melanoma cells: a method based in mean variance of signatures via spectral densities.

Authors:  Esperanza Guerra-Rosas; Josué Álvarez-Borrego; Aracely Angulo-Molina
Journal:  Biomed Opt Express       Date:  2017-03-15       Impact factor: 3.732

2.  Spectral indexes obtained by implementation of the fractional Fourier and Hermite transform for the diagnosis of malignant melanoma.

Authors:  Esbanyely Garza-Flores; Esperanza Guerra-Rosas; Josué Álvarez-Borrego
Journal:  Biomed Opt Express       Date:  2019-11-04       Impact factor: 3.732

3.  Computer-assisted diagnosis techniques (dermoscopy and spectroscopy-based) for diagnosing skin cancer in adults.

Authors:  Lavinia Ferrante di Ruffano; Yemisi Takwoingi; Jacqueline Dinnes; Naomi Chuchu; Susan E Bayliss; Clare Davenport; Rubeta N Matin; Kathie Godfrey; Colette O'Sullivan; Abha Gulati; Sue Ann Chan; Alana Durack; Susan O'Connell; Matthew D Gardiner; Jeffrey Bamber; Jonathan J Deeks; Hywel C Williams
Journal:  Cochrane Database Syst Rev       Date:  2018-12-04

Review 4.  Insect antimicrobial peptides: potential tools for the prevention of skin cancer.

Authors:  Miray Tonk; Andreas Vilcinskas; Mohammad Rahnamaeian
Journal:  Appl Microbiol Biotechnol       Date:  2016-07-15       Impact factor: 4.813
  4 in total

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