Gaussian clustering and quantification of the sperm chromatin dispersion test using convolutional neural networks-Reference-Cited by-同舟云学术

Gaussian clustering and quantification of the sperm chromatin dispersion test using convolutional neural networks

Published:2024 Issue:2 Volume:149 Page:366-375
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Yang Zheng¹^ORCID,Zhang Lei¹,Fan Heng¹,Yan Bei¹²,Mu Yaoqin¹,Zhou Yue²,Pei Chengbin²,Li Longjie³,Xiao Xianjin¹⁴^ORCID

Affiliation:

1. Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China

2. Ningxia Human Sperm Bank, Institute of Medical Sciences, General Hospital of Ningxia Medical University, Yinchuan, 750004, PR China

3. School of Life Science and Technology, Wuhan Polytechnic University, Wuhan, 430023, PR China

4. Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal and Child Health Care Affiliated to Hunan Normal University, Changsha, PR China

Abstract

Adaptive automation of the sperm chromatin dispersion test with geometric feature-extracting convolution networks.

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2024/AN/D3AN01616A

Reference41 articles.

1. A unique view on male infertility around the globe

2. Can semen parameters predict pregnancy outcomes?

3. Sperm DNA Fragmentation: Consequences for Reproduction

4. Sperm DNA fragmentation: causes and identification

5. DNA damage in testicular germ cells and spermatozoa. When and how is it induced? How should we measure it? What does it mean?