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HECTOR Deep Learning Model Shows Predictability for Distant Recurrence Risk in Endometrial Cancer
A deep learning risk prediction model was able to accurately identify patients with endometrial cancer at low and high risk of distant recurrence, according to data presented during the 2023 AACR Annual Meeting.
Sarah fremond
Transportec consortium
Leiden university medical center
Cox proportional hazards
Hector deep learning model
Endometrial cancer
Gynecologic oncology
Aacr annual meeting
Distant recurrence
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