Urology

Latest AI and machine learning research in urology for healthcare professionals.

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The Dresden Surgical Anatomy Dataset for Abdominal Organ Segmentation in Surgical Data Science.

Laparoscopy is an imaging technique that enables minimally-invasive procedures in various medical di...

Identify Hard-to-Place Kidneys for Early Engagement in Accelerated Placement With a Deep Learning Optimization Approach.

Recommended practices that follow match-run sequences for hard-to-place kidneys succumb to many decl...

Applications of artificial intelligence in prostate cancer histopathology.

The diagnosis of prostate cancer (PCa) depends on the evaluation of core needle biopsies by trained ...

Reinforcement learning in medical image analysis: Concepts, applications, challenges, and future directions.

MOTIVATION: Medical image analysis involves a series of tasks used to assist physicians in qualitati...

Deep Learning on Multimodal Chemical and Whole Slide Imaging Data for Predicting Prostate Cancer Directly from Tissue Images.

Prostate cancer is one of the most common cancers globally and is the second most common cancer in t...

A generalization performance study on the boosting radiotherapy dose calculation engine based on super-resolution.

PURPOSE: During the radiation treatment planning process, one of the time-consuming procedures is th...

3D plasmonic coral nanoarchitecture paper for label-free human urine sensing and deep learning-assisted cancer screening.

Practical human biofluid sensing requires a sensor device to differentiate patients from the normal ...

Automated multi-modal Transformer network (AMTNet) for 3D medical images segmentation.

Over the past years, convolutional neural networks based methods have dominated the field of medical...

Deep learning of renal scans in children with antenatal hydronephrosis.

INTRODUCTION: Antenatal hydronephrosis (ANH) is one of the most common anomalies identified on prena...

Robot-assisted complex urinary tract reconstruction using intestinal segments: redefining the paradigm.

Complex urinary tract reconstruction has significantly advanced with the increasing use of robot-ass...

Prostatic urinary tract visualization with super-resolution deep learning models.

In urethra-sparing radiation therapy, prostatic urinary tract visualization is important in decreasi...

A comparative study of attention mechanism based deep learning methods for bladder tumor segmentation.

BACKGROUND: Artificial intelligence aided tumor segmentation has been applied in various medical sce...

Opening the Horizons of Functional Urology and Neurourology to Robot-assisted Surgery.

Robot-assisted surgery is likely to become the new standard of care for functional urology and neuro...

Differential diagnosis of prostate cancer and benign prostatic hyperplasia based on DCE-MRI using bi-directional CLSTM deep learning and radiomics.

Dynamic contrast-enhanced MRI (DCE-MRI) is routinely included in the prostate MRI protocol for a lon...

Radiomic-based machine learning model for the accurate prediction of prostate cancer risk stratification.

OBJECTIVES: To precisely predict prostate cancer (PCa) risk stratification, we constructed a machine...

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