Supervised Machine Learning Classification of Human Sperm Head Based on Morphological Features-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Supervised Machine Learning Classification of Human Sperm Head Based on Morphological Features

Published:2021-11-14 Issue: Volume: Page:177-191
ISSN:2522-8595
Container-title:Trends and Advancements of Image Processing and Its Applications
language:
Short-container-title:

Author:

Revollo Natalia V.^ORCID,Sarmiento G. Noelia Revollo^ORCID,Delrieux Claudio^ORCID,Herrera Marcela^ORCID,González-José Rolando^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-75945-2_9

Reference55 articles.

1. WHO laboratory manual for the examination and processing of human semen, World Health Organization, 5th edn. (2010)

2. E. Levitas, E. Lunenfeld, N. Weisz, M. Friger, G. Potashnik, Relationship between age and semen parameters in men with normal sperm concentration: analysis of 6022 semen samples. Andrologia 39(2), 45–50 (2007)

3. K.P. Nallella, R.K. Sharma, N. Aziz, A. Agarwal, Significance of sperm characteristics in the evaluation of male infertility. Fertil. Steril. 85(3), 629–634 (2006)

4. W. Ombelet, R. Menkveld, T.F. Kruger, O. Steeno, Sperm morphology assessment: historical review in relation to fertility. Hum. Reprod. Update 1(6), 543–557 (1995)

5. M. Hidalgo, I. Rodríguez, J. Dorado, Influence of staining and sampling procedures on goat sperm morphometry using the sperm class analyzer. Theriogenology 66(4), 996–1003 (2006)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Less-supervised learning with knowledge distillation for sperm morphology analysis;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2024-05-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3