research-article

Comparison of Visual Feature Extraction Methods of Sperms in Semen Microscopic Videos

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Peng XuAuthors Info & Claims

ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine

Pages 206 - 212

https://doi.org/10.1145/3451421.3451465

Published: 27 August 2021 Publication History

Abstract

The morphology, number, density and sperm motility of male sperm are important indicators to measure male reproductive health. In microscopic videos, visual feature plays a fundamental role in sperm recognition and classification. For this purpose, we compare the effectiveness of different visual features of sperms in recognition and classification with four different classifiers. In the experiment, we use a sperm microscopic video data set to evaluate the visual feature, including two types of 1374 sperms, and obtain the evaluation of different visual features.

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Cited By

Zhang HLi CAi SChen HZheng YLi YLi XSun HHuang XGrzegorzek M(2022)Application of graph-based features in computer-aided diagnosis for histopathological image classification of gastric cancerDigital Medicine10.4103/digm.digm_7_228:1(15)Online publication date: 2022
https://doi.org/10.4103/digm.digm_7_22

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ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine

December 2020

239 pages

ISBN:9781450389686

DOI:10.1145/3451421

Copyright © 2020 ACM.

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Published: 27 August 2021

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ISICDM 2020

ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine

December 5 - 7, 2020

Shenyang, China

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Cited By

Zhang HLi CAi SChen HZheng YLi YLi XSun HHuang XGrzegorzek M(2022)Application of graph-based features in computer-aided diagnosis for histopathological image classification of gastric cancerDigital Medicine10.4103/digm.digm_7_228:1(15)Online publication date: 2022
https://doi.org/10.4103/digm.digm_7_22

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