Urology

An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies.

Automated Gleason grading is an important preliminary step for quantitative histopathological featur...

A hierarchical multimodal system for motion analysis in patients with epilepsy.

During seizures, a myriad of clinical manifestations may occur. The analysis of these signs, known a...

Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade.

OBJECTIVE: To evaluate the performance of quantitative computed tomography (CT) texture analysis usi...

Dixon-VIBE Deep Learning (DIVIDE) Pseudo-CT Synthesis for Pelvis PET/MR Attenuation Correction.

Whole-body attenuation correction (AC) is still challenging in combined PET/MR scanners. We describe...

Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks.

Accurate segmentation of pelvic organs (i.e., prostate, bladder, and rectum) from CT image is crucia...

Disease Specific Ontology of Adverse Events: Ontology extension and adaptation for Chronic Kidney Disease.

BACKGROUND: Adverse Event (AE) ontology can be used to support interoperability and computer-assiste...

Ethambutol-induced optic neuropathy in renal disorder: a clinico-electrophysiological study.

OBJECTIVE: To report the spectrum of ethambutol induced optic neuropathy in a group of renal patient...

Re: Granieri et al.: Robotic Y-V Plasty fpr Recalcitrant Bladder Neck Contracture (Urology 2018;117:163-165).

Automated prediction of dosimetric eligibility of patients with prostate cancer undergoing intensity-modulated radiation therapy using a convolutional neural network.

The quality of radiotherapy has greatly improved due to the high precision achieved by intensity-mod...

Twelve weeks of supervised exercise improves self-reported symptom burden and fatigue in chronic kidney disease: a secondary analysis of the 'ExTra CKD' trial.

BACKGROUND: Chronic kidney disease (CKD) patients experience a high symptom burden including fatigue...

Automated Gleason grading of prostate cancer tissue microarrays via deep learning.

The Gleason grading system remains the most powerful prognostic predictor for patients with prostate...

Single-port transperitoneal robotic-assisted laparoscopic radical prostatectomy (spRALP): Initial experience.

OBJECTIVE: To assess the feasibility of single-port transperitoneal robotic-assisted laparoscopic ra...

Boosting support vector machines for cancer discrimination tasks.

Cancer is a complex disease that is caused by rapid alteration of genes. Prediction of the state of ...

Re: Modified Frailty Index Associated with Clavien-Dindo IV Complications in Robot-Assisted Radical Prostatectomies: A Retrospective Study.

Establishment of a SVM classifier to predict recurrence of ovarian cancer.

Gene expression data using retrieved ovarian cancer (OC) samples were used to identify genes of inte...

Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging.

PURPOSE: We propose an approach of 3D convolutional neural network to segment the prostate in MR ima...

Development of a Ready-to-Use Graphical Tool Based on Artificial Neural Network Classification: Application for the Prediction of Late Fecal Incontinence After Prostate Cancer Radiation Therapy.

PURPOSE: This study was designed to apply artificial neural network (ANN) classification methods for...

Robot-assisted Kidney Autotransplantation: A Minimally Invasive Way to Salvage Kidneys.

BACKGROUND: Kidney autotransplantation (KAT) is the ultimate way to salvage kidneys with complex ren...

Use of machine learning to predict early biochemical recurrence after robot-assisted prostatectomy.

OBJECTIVES: To train and compare machine-learning algorithms with traditional regression analysis fo...

Robotic Donor Nephrectomy: Against.

The use of robotic techniques in laparoscopic donor nephrectomy currently tends to involve a longer ...

Top-Down Fabricated Silicon Nanowire Arrays for Field-Effect Detection of Prostate-Specific Antigen.

Highly sensitive electrical detection of biomarkers for the early stage screening of cancer is desir...