AIMC Topic: Urography

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Automated detection of posterior urethral valves in voiding cystourethrography images: A novel AI-Based pipeline for enhanced diagnosis and classification.

Computers in biology and medicine Dec 19, 2024
INTRODUCTION: Posterior Urethral Valves (PUV) are rare congenital anomalies of the male urinary tract that can lead to urethral obstruction and increased risk of kidney disease. Traditional diagnosis relies on subjective interpretation of imaging tec...
Male Image Processing, Computer-Assisted Urography Urethra Humans Artificial Intelligence
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Measurement of ureteral length: Comparison of deep learning-based method and other estimation methods on CT and KUB.

Computers in biology and medicine Nov 8, 2024
BACKGROUND: Accurate preoperative assessment of ureteral length is crucial for effective ureteral stenting.
Adult Humans Male Urography Retrospective Studies Middle Aged Tomography, X-Ray Computed Ureter Deep Learning Female Aged
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Deep-learning-based method for the segmentation of ureter and renal pelvis on non-enhanced CT scans.

Scientific reports Aug 30, 2024
This study aimed to develop a deep-learning (DL) based method for three-dimensional (3D) segmentation of the upper urinary tract (UUT), including ureter and renal pelvis, on non-enhanced computed tomography (NECT) scans. A total of 150 NECT scans wit...
Deep Learning Imaging, Three-Dimensional Aged Image Processing, Computer-Assisted Adult Urography Male Ureter Middle Aged Kidney Pelvis Humans Tomography, X-Ray Computed Female
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Radiomics-based machine learning approach for the prediction of grade and stage in upper urinary tract urothelial carcinoma: a step towards virtual biopsy.

International journal of surgery (London, England) Jun 1, 2024
OBJECTIVES: Upper tract urothelial carcinoma (UTUC) is a rare, aggressive lesion, with early detection a key to its management. This study aimed to utilise computed tomographic urogram data to develop machine learning models for predicting tumour gra...
Aged Aged, 80 and over Adult Radiomics Machine Learning Tomography, X-Ray Computed Female Neoplasm Grading Biopsy Carcinoma, Transitional Cell Urography Male Middle Aged Urologic Neoplasms Neoplasm Staging Humans
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A novel model of artificial intelligence based automated image analysis of CT urography to identify bladder cancer in patients investigated for macroscopic hematuria.

Scandinavian journal of urology May 2, 2024
OBJECTIVE: To evaluate whether artificial intelligence (AI) based automatic image analysis utilising convolutional neural networks (CNNs) can be used to evaluate computed tomography urography (CTU) for the presence of urinary bladder cancer (UBC) in ...
Adult Sensitivity and Specificity Male Middle Aged Urinary Bladder Neoplasms Hematuria Urography Tomography, X-Ray Computed Female Aged Aged, 80 and over Neural Networks, Computer Artificial Intelligence Retrospective Studies Humans
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Quantitative measurement of the ureter on three-dimensional magnetic resonance urography images using deep learning.

Medical physics Mar 13, 2024
BACKGROUND: Accurate measurement of ureteral diameters plays a pivotal role in diagnosing and monitoring urinary tract obstruction (UTO). While three-dimensional magnetic resonance urography (3D MRU) represents a significant advancement in imaging, t...
Male Middle Aged Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging Urography Ureter Retrospective Studies Female Aged Adult Humans
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A computed tomography urography-based machine learning model for predicting preoperative pathological grade of upper urinary tract urothelial carcinoma.

Cancer medicine Jan 4, 2024
OBJECTIVES: Development and validation of a computed tomography urography (CTU)-based machine learning (ML) model for prediction of preoperative pathology grade of upper urinary tract urothelial carcinoma (UTUC).
Female Aged Male Middle Aged ROC Curve Urologic Neoplasms Neoplasm Grading Carcinoma, Transitional Cell Machine Learning Algorithms Humans Preoperative Period Retrospective Studies Urography Tomography, X-Ray Computed
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Low-dose CT urography using deep learning image reconstruction: a prospective study for comparison with conventional CT urography.

The British journal of radiology Feb 24, 2021
OBJECTIVES: To compare the image quality of low-dose CT urography (LD-CTU) using deep learning image reconstruction (DLIR) with conventional CTU (C-CTU) using adaptive statistical iterative reconstruction (ASIR-V).
Humans Prospective Studies Tomography, X-Ray Computed Female Urography Urologic Diseases Aged Adult Male Deep Learning Middle Aged Urinary Tract Image Interpretation, Computer-Assisted Radiation Dosage
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U-Net based deep learning bladder segmentation in CT urography.

Medical physics Feb 28, 2019
OBJECTIVES: To develop a U-Net-based deep learning approach (U-DL) for bladder segmentation in computed tomography urography (CTU) as a part of a computer-assisted bladder cancer detection and treatment response assessment pipeline.
Urinary Bladder Neoplasms Urinary Bladder Urography Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Case-Control Studies Deep Learning Image Processing, Computer-Assisted
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Deep-learning convolutional neural network: Inner and outer bladder wall segmentation in CT urography.

Medical physics Jan 4, 2019
PURPOSE: We are developing a computerized segmentation tool for the inner and outer bladder wall as a part of an image analysis pipeline for CT urography (CTU).
Image Processing, Computer-Assisted Humans Radiation Dosage Tomography, X-Ray Computed Urinary Bladder Deep Learning Urography
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