Assisting the Human Embryo Viability Assessment by Deep Learning for In Vitro Fertilization

Assisting the Human Embryo Viability Assessment by Deep Learning for In Vitro Fertilization

The increasing global infertility rate is a matter of significant concern. In vitro fertilization (IVF) significantly minimizes infertility by providing an alternative clinical means of becoming pregnant. The success of IVF mainly depends on the assessment and analysis of human blastocyst components...

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Bibliographic Details
Main Authors: Muhammad Ishaq, Salman Raza, Hunza Rehar, Shan e Zain ul Abadeen, Dildar Hussain, Rizwan Ali Naqvi, Seung-Won Lee
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Mathematics
Subjects:
artificial intelligence
medical image analysis
semantic segmentation
embryological assessment
feature supplementation
Online Access:https://www.mdpi.com/2227-7390/11/9/2023

Internet

https://www.mdpi.com/2227-7390/11/9/2023

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