BPH/LUTS

A Hardware-Friendly Low-Bit Power-of-Two Quantization Method for CNNs and Its FPGA Implementation.

To address the problems of convolutional neural networks (CNNs) consuming more hardware resources (such as DSPs and RAMs on FPGAs) and their accuracy, efficiency, and resources being difficult to balance, meaning they cannot meet the requirements of industrial applications, we proposed an innovative low-bit power-of-two quantization method: the global sign-based network quantization (GSNQ). This m...

Development and Validation of a Deep Learning System for Sound-based Prediction of Urinary Flow.

BACKGROUND: Uroflowmetry remains an important tool for the assessment of patients with lower urinary tract symptoms (LUTS), but accuracy can be limited by within-subject variation of urinary flow rates. Voiding acoustics appear to correlate well with conventional uroflowmetry and show promise as a convenient home-based alternative for the monitoring of urinary flows.

Challenging cases in high-risk prostate cancer patients treated with Retzius-sparing robot-assisted radical prostatectomy.

OBJECTIVE: To evaluate the relationship between enlarged prostate, bulky median lobe (BML) or prior benign prostatic hyperplasia (BPH) surgery and per...

Feasibility of a deep learning-based diagnostic platform to evaluate lower urinary tract disorders in men using simple uroflowmetry.

PURPOSE: To diagnose lower urinary tract symptoms (LUTS) in a noninvasive manner, we created a prediction model for bladder outlet obstruction (BOO) a...

Mid-term functional outcomes of extraperitoneal robot-assisted simple prostatectomy: a single centre experience.

For large prostate volume, open simple prostatectomy (OSP) or holmium laser enucleation are the gold standard surgical treatment medical therapy failu...

Artificial intelligence for solid tumour diagnosis in digital pathology.

Tumour diagnosis relies on the visual examination of histological slides by pathologists through a microscope eyepiece. Digital pathology, the digital...

Management of urethral strictures and stenosis caused by the endo-urological treatment of benign prostatic hyperplasia-a single-center experience.

OBJECTIVE: Urethral stricture disease after endo-urological treatment of benign prostatic hyperplasia (BPH) is a sparsely described complication. We d...

SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation.

In clinics, the information about the appearance and location of brain tumors is essential to assist doctors in diagnosis and treatment. Automatic bra...

Urethral-sparing Robot-assisted Simple Prostatectomy: An Innovative Technique to Preserve Ejaculatory Function Overcoming the Limitation of the Standard Millin Approach.

BACKGROUND: Despite recent technical innovations in the treatment of benign prostatic hyperplasia (BPH), retrograde ejaculation is still one of the mo...

Patient reported outcome measures concerning urinary incontinence after robot assisted radical prostatectomy: development and validation of an online prediction model using clinical parameters, lower urinary tract symptoms and surgical experience.

The prediction of post-prostatectomy incontinence (PPI) after robot-assisted radical prostatectomy (RARP) depends on multiple clinical, anatomical and...

Brunn's Cyst Inducing Persistent Lower Urinary Tract Symptoms in a Young Man: A Case Report.

Lower urinary tract symptoms (LUTS) are mostly caused by hyperplasia of the prostate in the elderly generation or are the consequence of a urethral s...

Image Thresholding Improves 3-Dimensional Convolutional Neural Network Diagnosis of Different Acute Brain Hemorrhages on Computed Tomography Scans.

Intracranial hemorrhage is a medical emergency that requires urgent diagnosis and immediate treatment to improve patient outcome. Machine learning alg...

PENYEK: Automated brown planthopper detection from imperfect sticky pad images using deep convolutional neural network.

Rice is a staple food in Asia and it contributes significantly to the Gross Domestic Product (GDP) of Malaysia and other developing countries. Brown P...

Predicting posterior urethral obstruction in boys with lower urinary tract symptoms using deep artificial neural network.

PURPOSE: To assess the prediction model for late-presenting posterior urethral valve (PUV) in boys with lower urinary tract symptoms (LUTS) using arti...

Comprehensive urinary metabolomic characterization of a genetically induced mouse model of prostatic inflammation.

Dysfunction of the lower urinary tract commonly afflicts the middle-aged and aging male population. The etiology of lower urinary tract symptoms (LUTS...

Comparison of Robot-Assisted Versus Open Simple Prostatectomy for Benign Prostatic Hyperplasia.

PURPOSE OF REVIEW: Recent advancements in minimally invasive approaches for prostate surgery have provided numerous options for surgical management of...

Convective radiofrequency water vapor thermal therapy for benign prostatic hyperplasia: a single office experience.

BACKGROUND: Convective radiofrequency water vapor thermal therapy with the Rezūm system is a relatively new treatment for benign prostatic hyperplasia...

Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning.

Prostate cancer (PCa) is a major cause of death since ancient time documented in Egyptian Ptolemaic mummy imaging. PCa detection is critical to person...

The association of benign prostatic hyperplasia with lower urinary tract stones in adult men: A retrospective multicenter study.

OBJECTIVE: To examine the relationship between benign prostatic hyperplasia (BPH) and the presence of lower urinary tract stones.

Pathophysiology of clinical benign prostatic hyperplasia.

A disease can be defined as an abnormal anatomy (pathology) and/or function (physiology) that may cause harm to the body. In clinical benign prostatic...