AIMC Topic: Prostate

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Segmentation of prostate and prostate zones using deep learning : A multi-MRI vendor analysis.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]
PURPOSE: Develop a deep-learning-based segmentation algorithm for prostate and its peripheral zone (PZ) that is reliable across multiple MRI vendors.

Prediction of tumor location in prostate cancer tissue using a machine learning system on gene expression data.

BMC bioinformatics
BACKGROUND: Finding the tumor location in the prostate is an essential pathological step for prostate cancer diagnosis and treatment. The location of the tumor - the laterality - can be unilateral (the tumor is affecting one side of the prostate), or...

Preclinical Evaluation of the Versius Surgical System, a New Robot-assisted Surgical Device for Use in Minimal Access Renal and Prostate Surgery.

European urology focus
BACKGROUND: Minimal access surgery (MAS) is well-established in urological surgery. However, MAS is technically demanding and associated with a prolonged learning curve. Robot-assisted laparoscopy has made progress in overcoming these challenges.

MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data.

IEEE transactions on medical imaging
Automated prostate segmentation in MRI is highly demanded for computer-assisted diagnosis. Recently, a variety of deep learning methods have achieved remarkable progress in this task, usually relying on large amounts of training data. Due to the natu...

How to manage a partial detachment of the ureter during robotic radical prostatectomy?

Minerva urology and nephrology
The management of a ureteral orifice injury occurring during robotic radical prostatectomy (RARP) represents a challenge for urologists. Several techniques have been proposed to treat an intraoperative injury, but intraoperative positioning of a DJ s...

Technical Note: A feasibility study on deep learning-based radiotherapy dose calculation.

Medical physics
PURPOSE: Various dose calculation algorithms are available for radiation therapy for cancer patients. However, these algorithms are faced with the tradeoff between efficiency and accuracy. The fast algorithms are generally less accurate, while the ac...