DEVELOPING AN ARTIFICIAL INTELLIGENCE (AI) MODEL TO EFFICIENTLY MEASURE ENDOMETRIAL THICKNESS WITHIN ULTRASOUND (US) IMAGES
| Autor: | Mercuri, Natalie, Forooshani, Parisa Mojiri, Qi, Weikai, Fjeldstad, Jullin, Krivoi, Alex, Nayot, Dan |
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| Zdroj: | In Fertility and Sterility October 2024 122(4) Supplement:e149-e149 |
| Databáze: | ScienceDirect |
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