Latest AI and machine learning research in bph/luts for healthcare professionals.
OBJECTIVE: To investigate the association between benign prostatic hyperplasia (BPH) patterns, classified by magnetic resonance imaging (MRI), with lower urinary tract symptoms (LUTS) or continence, preoperatively and after robot-assisted laparoscopic radical prostatectomy (RARP).
BACKGROUND: Oxidative stress and antioxidants have been implicated in many diseases including prostate cancer and benign prostatic hyperplasia (BPH). Lipid peroxidation contributes to oxidative stress. However, new and emerging antioxidants such as paraoxonase 1 (PON1) and arylesterase (ARE) associated with lipoprotein peroxidation have not been examined in BPH patients. PON1 and ARE, a high-densi...
Testicular metastasis is rare with the prostate being the most common site of primary cancer. We report a case of a 72-year-old man with castration-re...
PURPOSE: Prostatic artery embolization (PAE) is a safe and efficacious procedure for benign prostatic hyperplasia (BPH), though is technically challen...
OBJECTIVES: Effect of tadalafil on lower urinary tract symptoms (LUTS), erectile function and quality of life (QoL) were prospectively evaluated in pa...
This paper proposes a pipelined non-deterministic finite automaton (NFA)-based string matching scheme using field programmable gate array (FPGA) imple...
This study investigates the efficacy of benign prostatic hyperplasia (BPH) treatment by prostate transurethral enucleation using a 2-μm laser. A total...
OBJECTIVES: To investigate urodynamic efficacy and safety of mirabegron add-on treatment with tamsulosin for Japanese male patients with overactive bl...
Benign prostatic hyperplasia (BPH) is the most common pathology afflicting ageing men. The gold standard for the surgical treatment of BPH is transure...
Lookup table (LUT)-based image denoising methods have attracted increasing attention due to their high efficiency and hardware-friendly properties. Ho...
Color correction is a key component of camera image signal processing (ISP) pipelines, encompassing illuminant discounting and colorimetric mapping of...
Color correction is a key component of camera image signal processing (ISP) pipelines, encompassing illuminant discounting and colorimetric mapping of...
Photorealistic Style Transfer (PST) aims to transfer the color and tonal style of a reference to a content image while strictly preserving its structu...
Vision Transformers have reshaped computer vision by using self-attention to capture global context across image regions. This makes them attractive f...
Abstract Background Prostate cancer (PCa) diagnosis remains challenged by the limited specificity of prostate-specific antigen (PSA) testing, which ca...
Achieving a desirable balance between rendering quality and real-time performance is a long-standing challenge in modern game and rendering engines, p...
Remote sensing images are frequently degraded by adverse weather conditions, particularly clouds and haze, which severely impair downstream applicatio...
We present LoR-LUT, a unified low-rank formulation for compact and interpretable 3D lookup table (LUT) generation. Unlike conventional 3D-LUT-based te...
Symbolic accelerators are increasingly used for symbolic data processing in domains such as genomics, NLP, and cybersecurity. However, these acceler...
Neurosymbolic AI (NSAI) has recently emerged to mitigate limitations associated with deep learning (DL) models, e.g. quantifying their uncertainty o...