Towards semen quality assessment using neural networks

Author

Linneberg, Chr ; Salamon, P. ; Svarer, C. ; Hansen, L.K. ; Meyrowitsch, J.

Author_Institution

Electron. Inst., Tech. Univ. Denmark, Lyngby, Denmark

fYear

1994

fDate

6-8 Sep 1994

Firstpage

509

Lastpage

517

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

Keywords

Fourier analysis; cellular biophysics; image classification; medical image processing; neural nets; classification; energy bands; human sperm head morphology; invariant Fourier descriptors; neural networks; optimal brain damage; preprocessing; semen quality assessment; Artificial neural networks; Biological neural networks; Data mining; Humans; Magnetic heads; Morphology; Neural networks; Quality assessment; Robustness; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks for Signal Processing [1994] IV. Proceedings of the 1994 IEEE Workshop

Conference_Location

Ermioni

Print_ISBN

0-7803-2026-3

Type

conf

DOI

10.1109/NNSP.1994.366015

Filename

366015

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2360959