Literature DB >> 11428935

Automated melanoma diagnosis: where are we at?

Greg R. Day1, Robert H. Barbour.   

Abstract

BACKGROUND: It has been over a decade since the first mention was made of the computer as a tool for assisting clinicians in diagnosing skin lesions. This review tabulates and summarises the major research papers, and comments on the state of the field after a decade of research.
CONCLUSIONS: We conclude that epiluminescent microscopy has become the image-capture technique of choice in this field. However, the reporting of research to date has been less than exemplary, making "reinvention of the wheel" likely. It also appears that although the goal of a clinically useful diagnostic system is closer, the complexity and variation displayed by skin lesions, coupled with the ad hoc direction and reporting of research, may hinder the achievement of this goal for some time to come.

Entities:  

Year:  2000        PMID: 11428935     DOI: 10.1034/j.1600-0846.2000.006001001.x

Source DB:  PubMed          Journal:  Skin Res Technol        ISSN: 0909-752X            Impact factor:   2.365


  3 in total

1.  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

2.  Segmentation and classification of consumer-grade and dermoscopic skin cancer images using hybrid textural analysis.

Authors:  Afsah Saleem; Naeem Bhatti; Aqueel Ashraf; Muhammad Zia; Hasan Mehmood
Journal:  J Med Imaging (Bellingham)       Date:  2019-08-06

3.  Segmentation of skin lesion using Cohen-Daubechies-Feauveau biorthogonal wavelet.

Authors:  Shehzad Khalid; Uzma Jamil; Kashif Saleem; M Usman Akram; Waleed Manzoor; Waqas Ahmed; Amina Sohail
Journal:  Springerplus       Date:  2016-09-19
  3 in total

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