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Urology

BPH/LUTS Erectile Dysfunction Urinary Incontinence

Subcategories: BPH/LUTS Erectile Dysfunction Urinary Incontinence

Showing 3739-3759 of 7,871 articles

Laparoscopic pediatric pyeloplasty using the Flexdex® articulating needle driver: step-by-step video.

Ureteropelvic junction (UPJ) stenosis is the most common cause of pathological neonatal hydronephros...

Apr 2019 PMID: 31431350

A hybrid neural network model for predicting kidney disease in hypertension patients based on electronic health records.

BACKGROUND: Disease prediction based on Electronic Health Records (EHR) has become one hot research ...

Apr 2019 PMID: 30961614

Acute renal failure in systemic sclerosis revealing Goodpasture syndrome: "All that glitters is not scleroderma renal crisis".

The most common cause of acute renal failure in systemic sclerosis patients is scleroderma renal cri...

Apr 2019 PMID: 35382400

Robot-assisted laparoscopic midureteral stricture repair and percutaneous stent placement in an infant.

Mid-ureteral strictures in infants are a rare cause of hydronephrosis. In this surgical technique vi...

Mar 2019 PMID: 31060967

Comparison between two programs for image analysis, machine learning and subsequent classification.

In the early 1950s, flow cytometry was developed as the first method for automated quantitative cell...

Mar 2019 PMID: 31133239

Kidney cortex segmentation in 2D CT with U-Nets ensemble aggregation.

PURPOSE: This work presents our contribution to one of the data challenges organized by the French R...

Mar 2019 PMID: 30926445

Fully complex conjugate gradient-based neural networks using Wirtinger calculus framework: Deterministic convergence and its application.

Conjugate gradient method has been verified to be one effective strategy for training neural network...

Mar 2019 PMID: 30974301

Patient-Specific Seizure Detection Method using Hybrid Classifier with Optimized Electrodes.

In this paper the EEG signal is analyzed by reconstructing the time series EEG signal in High dimens...

Mar 2019 PMID: 30915585

Automated tumour budding quantification by machine learning augments TNM staging in muscle-invasive bladder cancer prognosis.

Tumour budding has been described as an independent prognostic feature in several tumour types. We r...

Mar 2019 PMID: 30914794

A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained Slides.

Pathologic diagnoses mainly depend on visual scoring by pathologists, a process that can be time-con...

Mar 2019 PMID: 30914690

Identifying progressive CKD from healthy population using Bayesian network and artificial intelligence: A worksite-based cohort study.

Identifying progressive early chronic kidney disease (CKD) patients at a health checkup is a good op...

Mar 2019 PMID: 30911092

CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation.

Accurate segmentation of the prostate and organs at risk (e.g., bladder and rectum) in CT images is ...

Mar 2019 PMID: 30928830

Group Lasso Regularized Deep Learning for Cancer Prognosis from Multi-Omics and Clinical Features.

Accurate prognosis of patients with cancer is important for the stratification of patients, the opti...

Mar 2019 PMID: 30901858

A deep-learning model using automated performance metrics and clinical features to predict urinary continence recovery after robot-assisted radical prostatectomy.

OBJECTIVES: To predict urinary continence recovery after robot-assisted radical prostatectomy (RARP)...

Mar 2019 PMID: 30811828

Comparison of long-term outcomes of laparoscopic and robot-assisted laparoscopic partial nephrectomy.

In this study, we compared the long-term oncological and functional outcomes of laparoscopic partial...

Mar 2019 PMID: 30887679

Automatic Segmentation of the Prostate on CT Images Using Deep Neural Networks (DNN).

PURPOSE: Recent advances in deep neural networks (DNNs) have unlocked opportunities for their applic...

Mar 2019 PMID: 30890447

Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method.

PURPOSE: To evaluate the performance of a multi-parametric MRI (mp-MRI)-based radiomics signature fo...

Mar 2019 PMID: 31084754

Browse Categories

Laparoscopic pediatric pyeloplasty using the Flexdex® articulating needle driver: step-by-step video.

A hybrid neural network model for predicting kidney disease in hypertension patients based on electronic health records.

Acute renal failure in systemic sclerosis revealing Goodpasture syndrome: "All that glitters is not scleroderma renal crisis".

Robot-assisted laparoscopic midureteral stricture repair and percutaneous stent placement in an infant.

Comparison between two programs for image analysis, machine learning and subsequent classification.

Kidney cortex segmentation in 2D CT with U-Nets ensemble aggregation.

Fully complex conjugate gradient-based neural networks using Wirtinger calculus framework: Deterministic convergence and its application.

Patient-Specific Seizure Detection Method using Hybrid Classifier with Optimized Electrodes.

Automated tumour budding quantification by machine learning augments TNM staging in muscle-invasive bladder cancer prognosis.

A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained Slides.

Identifying progressive CKD from healthy population using Bayesian network and artificial intelligence: A worksite-based cohort study.

CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation.

Group Lasso Regularized Deep Learning for Cancer Prognosis from Multi-Omics and Clinical Features.

A deep-learning model using automated performance metrics and clinical features to predict urinary continence recovery after robot-assisted radical prostatectomy.

Comparison of long-term outcomes of laparoscopic and robot-assisted laparoscopic partial nephrectomy.

Automatic Segmentation of the Prostate on CT Images Using Deep Neural Networks (DNN).

Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method.

Automatically identifying social isolation from clinical narratives for patients with prostate Cancer.

Measurement of Glomerular Filtration Rate using Quantitative SPECT/CT and Deep-learning-based Kidney Segmentation.

Random forest classifiers aid in the detection of incidental osteoblastic osseous metastases in DEXA studies.

ChemSuite: A package for chemoinformatics calculations and machine learning.

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