The purpose of this study was to determine if habitat radiomic features extracted from pretherapy multi-sequence MRI predict residual status in patients with Nasopharyngeal Carcinoma (NPC) after ...
This study aimed to develop an interpretable machine learning model that accurately predicts Ki-67 expression in breast cancer (BC) patients using a combination of dynamic-contrast enhanced magnetic ...
The integration of robotic drive and imaging feedback is implemented using MRI sequences. The entire cycle time is reduced to 30 ms for real-time navigation, and the introduction of reconstruction ...
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