Cover Image
QR Code

A Review of the Quantification and Classification of Pigmented Skin Lesions: From Dedicated to Hand-Held Devices.

In recent years, the incidence of skin cancer cases has risen, worldwide, mainly due to the prolonged exposure to harmful ultraviolet radiation. Concurrently, the computer-assisted medical diagnosis of skin cancer has undergone major advances, through an improvement in the instrument and detection t...

Full description

Published in:Journal of Medical Systems Vol. 39; no. 11; pp. 1 - 13
Main Authors: Filho, Mercedes, Ma, Zhen, Tavares, João
Format: pictorial tables/charts Journal Article
Published: Springer Nature Nov2015
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=115925195&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 115925195
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01485598
        4N0
      jtl: Journal of Medical Systems
      issn: 01485598
      maglogo: N
    pubinfo:
      dt: Nov2015
      vid: 39
      iid: 11
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        115925195
        115925195
        115925195
        10.1007/s10916-015-0354-8
        115925195
      ppf: 1
      ppct: 12
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: A Review of the Quantification and Classification of Pigmented Skin Lesions: From Dedicated to Hand-Held Devices.
      aug:
        au:
          Filho, Mercedes
          Ma, Zhen
          Tavares, João
        affil: Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias 4200-465 Porto Portugal
      sug:
        subj:
          Microscopy
          Skin Neoplasms Diagnosis
          Skin Neoplasms Classification
          Image Processing, Computer Assisted
          Algorithms
          Logic
          Color
          Mobile Applications
      ab: In recent years, the incidence of skin cancer cases has risen, worldwide, mainly due to the prolonged exposure to harmful ultraviolet radiation. Concurrently, the computer-assisted medical diagnosis of skin cancer has undergone major advances, through an improvement in the instrument and detection technology, and the development of algorithms to process the information. Moreover, because there has been an increased need to store medical data, for monitoring, comparative and assisted-learning purposes, algorithms for data processing and storage have also become more efficient in handling the increase of data. In addition, the potential use of common mobile devices to register high-resolution images of skin lesions has also fueled the need to create real-time processing algorithms that may provide a likelihood for the development of malignancy. This last possibility allows even non-specialists to monitor and follow-up suspected skin cancer cases. In this review, we present the major steps in the pre-processing, processing and post-processing of skin lesion images, with a particular emphasis on the quantification and classification of pigmented skin lesions. We further review and outline the future challenges for the creation of minimum-feature, automated and real-time algorithms for the detection of skin cancer from images acquired via common mobile devices.
      pubtype: Academic Journal
      doctype:
        pictorial
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N