AIMC Topic: Urinary Bladder Neoplasms
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Predicting muscle invasion in bladder cancer based on MRI: A comparison of radiomics, and single-task and multi-task deep learning.
Computer methods and programs in biomedicine
Mar 5, 2023
BACKGROUND AND OBJECTIVES: Radiomics and deep learning are two popular technologies used to develop computer-aided detection and diagnosis schemes for analysing medical images. This study aimed to compare the effectiveness of radiomics, single-task d...
Which data subset should be augmented for deep learning? a simulation study using urothelial cell carcinoma histopathology images.
BMC bioinformatics
Mar 3, 2023
BACKGROUND: Applying deep learning to digital histopathology is hindered by the scarcity of manually annotated datasets. While data augmentation can ameliorate this obstacle, its methods are far from standardized. Our aim was to systematically explor...
Open vs robotic intracorporeal Padua ileal bladder: functional outcomes of a single-centre RCT.
World journal of urology
Feb 27, 2023
PURPOSE: Functional outcomes of robot-assisted (RA) radical cystectomy (RC) with intracorporeal orthotopic neobladder (i-ON) have been poorly investigated. The study aimed to report functional outcomes of a prospective randomized controlled trial (RC...
Short term outcomes after robot assisted and open cystectomy - A nation-wide population-based study.
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Jan 25, 2023
INTRODUCTION: We aimed to compare short term outcomes after robot assisted radical cystectomy (RARC) and open radical cystectomy (ORC) for urinary bladder cancer in a large population.
Robot-assisted laparoscopic cystectomy with non-continent urinary diversion for neurogenic lower urinary tract dysfunction: Midterm outcomes.
Neurourology and urodynamics
Jan 25, 2023
OBJECTIVES: The aim of this study was to assess midterm functional outcomes and complications of robot-assisted laparoscopic cystectomy with non-continent urinary diversion in patients with neurogenic lower urinary tract dysfunction.
An artificial intelligence model for the pathological diagnosis of invasion depth and histologic grade in bladder cancer.
Journal of translational medicine
Jan 23, 2023
BACKGROUND: Accurate pathological diagnosis of invasion depth and histologic grade is key for clinical management in patients with bladder cancer (BCa), but it is labour-intensive, experience-dependent and subject to interobserver variability. Here, ...
A comparative study of attention mechanism based deep learning methods for bladder tumor segmentation.
International journal of medical informatics
Jan 5, 2023
BACKGROUND: Artificial intelligence aided tumor segmentation has been applied in various medical scenarios and showed effectiveness in helping physicians observe the potential malignant tissues. However, little research has been conducted for the cys...
Robotic radical cystectomy - more precision needed?
Current opinion in urology
Dec 29, 2022
PURPOSE OF REVIEW: Recently, several trials as well as registry-data analyses investigating the role of robot-assisted radical cystectomy with extra or intracorporal urinary diversion were completed and follow up matured. This review aims to comment ...
The feasibility of robot-assisted radical cystectomy: an experimental study.
World journal of urology
Dec 29, 2022
PURPOSE: To investigate the feasibility of the avatera system for performing robot-assisted radical cystectomy (RARC) followed by intracorporeal reconstruction of ileal neobladder.
Robot-assisted vs Open Radical Cystectomy: Randomized Controlled Trials Lights and Shadows.
The Journal of urology
Dec 27, 2022
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