Literature DB >> 12380061

Computer-aided melanoma diagnosis.

Marek Elbaum1.   

Abstract

This article presents a snapshot of fast-moving research into the application of digital imaging technology to in vivo computer-aided diagnosis of early melanoma. It is written from the perspective of a researcher with a keen interest in bringing this technology to physicians' offices. The primary emphasis is on reviewing the existing literature, supplemented by unpublished material relating to a particular system and as yet unpublished research studies.

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Year:  2002        PMID: 12380061     DOI: 10.1016/s0733-8635(02)00040-2

Source DB:  PubMed          Journal:  Dermatol Clin        ISSN: 0733-8635            Impact factor:   3.478


  4 in total

1.  Automated detection of malignant features in confocal microscopy on superficial spreading melanoma versus nevi.

Authors:  Dan Gareau; Ricky Hennessy; Eric Wan; Giovanni Pellacani; Steven L Jacques
Journal:  J Biomed Opt       Date:  2010 Nov-Dec       Impact factor: 3.170

2.  Digital diagnosis: new tool for detecting skin cancer.

Authors:  Victoria McGovern
Journal:  Environ Health Perspect       Date:  2003-11       Impact factor: 9.031

Review 3.  Skin cancer detection using non-invasive techniques.

Authors:  Vigneswaran Narayanamurthy; P Padmapriya; A Noorasafrin; B Pooja; K Hema; Al'aina Yuhainis Firus Khan; K Nithyakalyani; Fahmi Samsuri
Journal:  RSC Adv       Date:  2018-08-06       Impact factor: 4.036

4.  Emerging technologies for the detection of melanoma: achieving better outcomes.

Authors:  Cila Herman
Journal:  Clin Cosmet Investig Dermatol       Date:  2012-11-12
  4 in total

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