Bladder volume estimation based on USG images

Bladder volume estimation based on USG images

The article explores deep learning models in urological diagnostics to measure urinary bladder volume from medical images. It addresses the shortcomings of traditional methods by introducing advanced imaging techniques for more objective and precise analysis. The research employs Convolutional Neura...

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Bibliographic Details
Main Authors:	Volodymyr Mosorov, Daniel Baradziej, Marta Chodyka
Format:	Article
Language:	English
Published:	Polish Academy of Sciences 2024-11-01
Series:	International Journal of Electronics and Telecommunications
Subjects:	deep learning bladder volume estimation medical imaging convolutional neural networks image segmentation monai platform diagnostic accuracy
Online Access:	https://journals.pan.pl/Content/133213/PDF/13-4641-Mosorov-sk.pdf
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