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

Journal: Computers in biology and medicine
PMID: 39705793

Abstract

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 techniques. This study aimed to automate and increase accuracy of PUV detection in voiding cystourethrography (VCUG) images using an AI-based pipeline. The main objective was to detect presence of PUV based on urethral ratio calculated automatically from segmented urethra region.

Authors

  • Saidul Kabir
    Department of Electrical and Electronic Engineering, University of Dhaka, Dhaka, Bangladesh.
  • Rusab Sarmun
    Department of Electrical and Electronic Engineering, University of Dhaka, Dhaka, Bangladesh.
  • Elias Ramírez-Velázquez
    Pediatric Urology Department, Hospital Infantil de México Federico Gómez, México City, Mexico.
  • Anil Takvani
    Takvani Kidney Hospital, Junagadh, Gujarat, India.
  • Mansour Ali
    Department of Surgery, Sidra Medicine, Doha, Qatar.
  • Muhammad E H Chowdhury
    Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.
  • Tariq O Abbas
    Pediatric Urology Section, Sidra Medicine, Doha, Qatar; College of Medicine, Qatar University, Doha, Qatar; Weill Cornell Medicine Qatar, Doha, Qatar. Electronic address: tabbas@sidra.org.

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