Results 151 to 160 of about 163,708 (215)
Biochemical Prostate Cancer Recurrence Prediction: Thinking Fast & Slow [PDF]
Time to biochemical recurrence in prostate cancer is essential for prognostic monitoring of the progression of patients after prostatectomy, which assesses the efficacy of the surgery. In this work, we proposed to leverage multiple instance learning through a two-stage ``thinking fast \& slow'' strategy for the time to recurrence (TTR) prediction.
arxiv
ToolTipNet: A Segmentation-Driven Deep Learning Baseline for Surgical Instrument Tip Detection [PDF]
In robot-assisted laparoscopic radical prostatectomy (RALP), the location of the instrument tip is important to register the ultrasound frame with the laparoscopic camera frame. A long-standing limitation is that the instrument tip position obtained from the da Vinci API is inaccurate and requires hand-eye calibration.
arxiv
A DWI-based hypoxia model shows robustness in an external prostatectomy cohort
IntroductionProstate cancer hypoxia is a negative prognostic biomarker. A promising MRI-based tool to assess hypoxia is the ‘Consumption and Supply based Hypoxia’ (CSH) model based on diffusion-weighted imaging (DWI). The aim of the study was to validate
M. Fernandez Salamanca+12 more
doaj +1 more source
ARREST OF HAEMORRHAGE AFTER PROSTATECTOMY: A HAEMOSTATIC CLAMP [PDF]
R. O. Ward
openalex +1 more source