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Enhancing chromosomal analysis efficiency through deep learning-based artificial intelligence graphic analysis

2024-05-29

Abstract excerpt

Abstract The objective of this study is to evaluate the efficacy and diagnostic utility of an advanced chromosomal analysis approach. A total of 2663 amniotic fluid samples were chosen for chromosomal karyotype profiling between January 2022 and June 2023. Two sets of tests were carried out: experiment 1 involved randomly selecting 1168 examples to test the accuracy of machine learning-based chromosomal karyotypes...

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Literature Corpus work: 817fa904-263d-5dbc-b99e-1cc72d23bb49
DOI: 10.1007/s42452-024-05980-5

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