Design and evaluation of neural classifiers application to skin lesion classification

Mads Hintz-Madsen, Lars Kai Hansen, Jan Larsen, Eric Olesen, K.T. Drzewiecki

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    Abstract

    Addresses design and evaluation of neural classifiers for the problem of skin lesion classification. By using Gauss Newton optimization for the entropic cost function in conjunction with pruning by Optimal Brain Damage and a new test error estimate, the authors show that this scheme is capable of optimizing the architecture of neural classifiers. Furthermore, error-reject tradeoff theory indicates, that the resulting neural classifiers for the skin lesion classification problem are near-optimal
    Original languageEnglish
    Title of host publicationProceedings of the 1995 IEEE Workshop on Neural Networks for Signal Processing
    PublisherIEEE
    Publication date1995
    Pages484-493
    ISBN (Print)07-80-32739-X
    DOIs
    Publication statusPublished - 1995
    Event1995 IEEE Workshop on Neural Networks for Signal Processing V - Cambridge, MA, United States
    Duration: 31 Aug 19952 Sep 1995
    Conference number: 5
    http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=3947

    Workshop

    Workshop1995 IEEE Workshop on Neural Networks for Signal Processing V
    Number5
    CountryUnited States
    CityCambridge, MA
    Period31/08/199502/09/1995
    Internet address

    Bibliographical note

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