Towards semen quality assessment using neural networks

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

doi:10.1109/NNSP.1994.366015

Towards semen quality assessment using neural networks

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

DynaVision
Technical University of Denmark

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

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 language	English
Title of host publication	Proceedings of the 4th IEEE Workshop Neural Networks for Signal Processing
Publisher	IEEE
Publication date	1994
Pages	509-517
ISBN (Print)	07-80-32026-3
DOIs	https://doi.org/10.1109/NNSP.1994.366015
Publication status	Published - 1994
Event	1994 IEEE Workshop on Neural Networks for Signal Processing - Ermoino, Greece Duration: 6 Sept 1994 → 8 Sept 1994 Conference number: 4 https://ieeexplore.ieee.org/xpl/conhome/2959/proceeding http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=2959

Conference

Conference	1994 IEEE Workshop on Neural Networks for Signal Processing
Number	4
Country/Territory	Greece
City	Ermoino
Period	06/09/1994 → 08/09/1994
Internet address	https://ieeexplore.ieee.org/xpl/conhome/2959/proceeding http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=2959

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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@inproceedings{2ca55a9be1b049f398c769b700258508,

title = "Towards semen quality assessment using neural networks",

abstract = "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 {\textquotedblleft}energy{\textquotedblright} bands. The resulting networks are pruned using optimal brain damage. Performance comparable to the error rate for human technicians is obtained",

author = "Christian Linneberg and P. Salamon and C. Svarer and Hansen, \{Lars Kai\} and J. Meyrowitsch",

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; 1994 IEEE Workshop on Neural Networks for Signal Processing, NNSP 1994 ; Conference date: 06-09-1994 Through 08-09-1994",

year = "1994",

doi = "10.1109/NNSP.1994.366015",

language = "English",

isbn = "07-80-32026-3",

pages = "509--517",

booktitle = "Proceedings of the 4th IEEE Workshop Neural Networks for Signal Processing",

publisher = "IEEE",

address = "United States",

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TY - GEN

T1 - Towards semen quality assessment using neural networks

AU - Linneberg, Christian

AU - Salamon, P.

AU - Svarer, C.

AU - Hansen, Lars Kai

AU - Meyrowitsch, J.

N1 - Conference code: 4

PY - 1994

Y1 - 1994

N2 - 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

AB - 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

U2 - 10.1109/NNSP.1994.366015

DO - 10.1109/NNSP.1994.366015

M3 - Article in proceedings

SN - 07-80-32026-3

SP - 509

EP - 517

BT - Proceedings of the 4th IEEE Workshop Neural Networks for Signal Processing

PB - IEEE

T2 - 1994 IEEE Workshop on Neural Networks for Signal Processing

Y2 - 6 September 1994 through 8 September 1994

ER -

Towards semen quality assessment using neural networks

Abstract

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Bibliographical note

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