Anomaly Detection in Embryo Development and Morphology Using Medical Computer Vision-Aided Swin Transformer with Boosted Dipper-Throated Optimization Algorithm

Infertility affects a significant number of humans. A supported reproduction technology was verified to ease infertility problems. In vitro fertilization (IVF) is one of the best choices, and its success relies on the preference for a higher-quality embryo for transmission. These have been normally...

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Veröffentlicht in:	Bioengineering (Basel) Jg. 11; H. 10; S. 1044
Hauptverfasser:	Mazroa, Alanoud Al, Maashi, Mashael, Said, Yahia, Maray, Mohammed, Alzahrani, Ahmad A., Alkharashi, Abdulwhab, Al-Sharafi, Ali M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 01.10.2024 MDPI
Schlagworte:	Accuracy Algorithms Analysis Anomalies Art techniques Artificial intelligence boosted dipper-throated optimization Classification Computer vision Deep learning Developmental biology embryo development Embryonic development Embryos Fertility Health aspects Image filters image preprocessing In vitro fertilization Infertility Machine learning Mathematical optimization Methods Morphology Neural networks Observational learning Optimization Prevention Problem solving Reproductive technologies Risk factors swin transformer Saudi Arabia boosted dipper-throated optimization embryo development image preprocessing swin transformer computer vision
ISSN:	2306-5354, 2306-5354
Online-Zugang:	Volltext
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