Towards semen quality assessment using neural networks

Christian Linneberg, P. Salamon, C. Svarer, Lars Kai Hansen, J. Meyrowitsch

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    The paper presents the methodology and results from a neural net based classification of human sperm head morphology. The methodology uses a preprocessing scheme in which invariant Fourier descriptors are lumped into “energy” bands. The resulting networks are pruned using optimal brain damage. Performance comparable to the error rate for human technicians is obtained
    Original languageEnglish
    Title of host publicationProceedings of the 4th IEEE Workshop Neural Networks for Signal Processing
    Publication date1994
    ISBN (Print)07-80-32026-3
    Publication statusPublished - 1994
    EventIEEE Workshop of Neural Networks for Signal Proceesing IV - Ermioni, Greece
    Duration: 6 Sep 19948 Sep 1994
    Conference number: 4th


    WorkshopIEEE Workshop of Neural Networks for Signal Proceesing IV
    Internet address

    Bibliographical note

    Copyright: 1994 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE


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