ENHANCING KIDNEY STONE DETECTION USING YOLOv5
Authors:
Naine Indu , Sampeta Niharika ,Dontulapally Bhanu Sri ,Chippalapally Srinath Reddy
Page No: 566-571
Abstract:
Detecting defects in MR images is crucial for various medical procedures. Due to the complexity of MR images and the challenges posed by blurred boundaries, accurately segmenting and classifying kidney stones is highly challenging
Description:
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Volume & Issue
Volume-13,Issue-4
Keywords
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