An automatic system for spermiogram analysis based on image processing techniques and support vector machines

Natalia V. Revollo; Claudio A. Delrieux; Rolando González-José; Javier Izetta R.

doi:10.1117/12.2513676

21 December 2018 An automatic system for spermiogram analysis based on image processing techniques and support vector machines

Natalia V. Revollo, Claudio A. Delrieux, Rolando González-José, Javier Izetta R.

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Proceedings Volume 10975, 14th International Symposium on Medical Information Processing and Analysis; 109750G (2018) https://doi.org/10.1117/12.2513676
Event: 14th International Symposium on Medical Information Processing and Analysis, 2018, Mazatlán, Mexico

Abstract

Image-based diagnosis becoming one of the most important areas in medicine, as the diversity and sophistication of imaging techniques are being increasingly used in hospitals and medical centers. This, however, raises the issue of having image analysis capabilities that go with this trend, to be able to use medical imagery to provide fast and accurate diagnosis. In andrology in particular, the spermiogram analysis is considered the most significant study to evaluate the male reproductive capacity. Spermiograms can be produced with relatively little effort and cost, since they require only standard procedures for sample treatment. However, an adequate assessment of sperm quality requires the careful inspection by higly trained specialists, requiring time, and being prone to high inter- and intra-specialist variances. In this paper we present a system for automatic spermiogram analysis using image processing and machine learning techniques. The system was trained using a repository of spermiograms and the opinion of several experts in andrology and in human reproduction, using different information sources and classification criteria. The results are aimed to develop a SaaS CASA (Computer Assisted Sperm Analysis) system that can provide results over the Internet.

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Natalia V. Revollo, Claudio A. Delrieux, Rolando González-José, and Javier Izetta R. "An automatic system for spermiogram analysis based on image processing techniques and support vector machines", Proc. SPIE 10975, 14th International Symposium on Medical Information Processing and Analysis, 109750G (21 December 2018); https://doi.org/10.1117/12.2513676

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KEYWORDS

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Image segmentation

Image processing

Image analysis

Prototyping

Image classification

Shape analysis

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