Identification of significant imaging features for sensing oocyte viability-Reference-Cited by-同舟云学术

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Identification of significant imaging features for sensing oocyte viability

Published:2022-10-24 Issue:2 Volume:86 Page:181-192
ISSN:1059-910X
Container-title:Microscopy Research and Technique
language:en
Short-container-title:Microscopy Res & Technique

Author:

Chen Yizhe¹²³,Liu Yaowei¹²³,Zuo Xiaoying¹²³,Zhao Qili¹²³,Sun Mingzhu¹²³,Cui Maosheng³⁴,Zhao Xin¹²³,Du Yue¹²³^ORCID

Affiliation:

1. Institute of Robotics and Automatic Information System, College of Artificial Intelligence Nankai University Tianjin China

2. Tianjin Key Laboratory of Intelligent Robotics Nankai University Tianjin China

3. Institute of Intelligence Technology and Robotic Systems Shenzhen Research Institute of Nankai University Tianjin China

4. Innovation Team of Pig Feeding Institute of Animal Science and Veterinary of Tianjin Tianjin China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Medical Laboratory Technology,Instrumentation,Histology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jemt.24248

Reference44 articles.

1. Cryogenic protection of oocytes with antifreeze proteins

2. A Texture-Based Image Processing Approach for the Description of Human Oocyte Cytoplasm

3. Benchmark for filter methods for feature selection in high-dimensional classification data

4. Role of Adenosine Triphosphate, Active Mitochondria, and Microtubules in the Acquisition of Developmental Competence of Parthenogenetically Activated Pig Oocytes1

5. Bayesian network inference using marginal trees

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