Hybrid Neural Networks for Precise Hydronephrosis Classification Using Deep Learning

Hybrid Neural Networks for Precise Hydronephrosis Classification Using Deep Learning

<h3 dir="ltr">Objective</h3><p dir="ltr">To develop and evaluate a deep learning framework for automatic kidney and fluid segmentation in renal ultrasound images, aiming to enhance diagnostic accuracy and reduce variability in hydronephrosis assessment. </p&g...

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Bibliographic Details
Main Author: Abdus Salam (1918387) (author)
Other Authors: Mansura Naznine (21399893) (author), Muhammad E.H. Chowdhury (17151154) (author), Saidanvar Agzamkhodjaev (22928887) (author), Ali Tekin (22155874) (author), Santiago Vallasciani (10583165) (author), Elias Ramírez-Velázquez (20487203) (author), Tariq O. Abbas (11247771) (author)
Published: 2025
Subjects:
Health sciences
Health services and systems
Information and computing sciences
Machine learning
Deep Learning
Kidney Segmentation
Fluid Segmentation
Renal Ultrasound Imaging
Hydronephrosis Assessment
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