AIMC Topic: Cystoscopy
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Tumor detection under cystoscopy with transformer-augmented deep learning algorithm.
Physics in medicine and biology
Aug 7, 2023
Accurate tumor detection is critical in cystoscopy to improve bladder cancer resection and decrease recurrence. Advanced deep learning algorithms hold the potential to improve the performance of standard white-light cystoscopy (WLC) in a noninvasive ...
Robotic repair of a branching vesicouterine and vesicovaginal fistula.
International urogynecology journal
Sep 28, 2022
INTRODUCTION AND HYPOTHESIS: We present technical considerations and tips for repairing a complex branching vesicouterine and vesicovaginal fistula via a robotic approach.
Explainable artificial intelligence (XAI): closing the gap between image analysis and navigation in complex invasive diagnostic procedures.
World journal of urology
Jan 27, 2022
LITERATURE REVIEW: Cystoscopy is the gold standard for initial macroscopic assessments of the human urinary bladder to rule out (or diagnose) bladder cancer (BCa). Despite having guidelines, cystoscopic findings are diverse and often challenging to c...
Robot-assisted partial cystectomy for bladder endometriosis: dual approach involving cystoscopy and robotic surgery.
BMJ case reports
Aug 24, 2021
Bladder endometriosis accounts for 70%-85% cases of urinary tract endometriosis. A high index of suspicion is needed to diagnose this condition as most women have associated pelvic and menstrual complaints. The presence of cyclical haematuria along w...
Deep learning-based classification of blue light cystoscopy imaging during transurethral resection of bladder tumors.
Scientific reports
Jun 2, 2021
Bladder cancer is one of the top 10 frequently occurring cancers and leads to most cancer deaths worldwide. Recently, blue light (BL) cystoscopy-based photodynamic diagnosis was introduced as a unique technology to enhance the detection of bladder ca...
[Enhanced imaging in urological endoscopy].
Der Urologe. Ausg. A
Dec 10, 2020
White light cystoscopy and the concise documentation of pathological findings are standard diagnostic procedures in urology. Additional imaging modalities and technical innovations may support clinicians in the detection of bladder tumors. Modern end...
A deep learning network-assisted bladder tumour recognition under cystoscopy based on Caffe deep learning framework and EasyDL platform.
The international journal of medical robotics + computer assisted surgery : MRCAS
Sep 24, 2020
BACKGROUND: Cystoscopy plays an important role in the diagnosis of bladder tumours. As a typical representative of the deep learning algorithm, the convolutional neural network has shown great advantages in the field of image recognition and segmenta...
Support System of Cystoscopic Diagnosis for Bladder Cancer Based on Artificial Intelligence.
Journal of endourology
Jan 14, 2020
Nonmuscle-invasive bladder cancer has a relatively high postoperative recurrence rate despite the implementation of conventional treatment methods. Cystoscopy is essential for diagnosing and monitoring bladder cancer, but lesions are overlooked whil...
Application of artificial neural networks for automated analysis of cystoscopic images: a review of the current status and future prospects.
World journal of urology
Jan 10, 2020
BACKGROUND: Optimal detection and surveillance of bladder cancer (BCa) rely primarily on the cystoscopic visualization of bladder lesions. AI-assisted cystoscopy may improve image recognition and accelerate data acquisition.
Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis.
Artificial intelligence in medicine
Nov 13, 2019
In this paper, the urinary bladder cancer diagnostic method which is based on Multi-Layer Perceptron and Laplacian edge detector is presented. The aim of this paper is to investigate the implementation possibility of a simpler method (Multi-Layer Per...
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