https://z-devd-fmkinhibitor.co....m/characterizing-the
The model's predictive capacity saw a notable improvement thanks to the utilization of endometrial segmentation features (P=0.0041). Clinical quantitative variables, coupled with ultrasound-based deep learning radiomics, within a multi-modal fusion model, offer a favorable, non-invasive, and speedy approach to personalized FET outcome prediction. A rapid and favorable non-invasive approach to personalized pred
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