An attention enhanced dilated bottleneck network for kidney disease classification

Abstract Computer-Aided Design (CAD) techniques have been developed to assist nephrologists by optimising clinical workflows, ensuring accurate results and effectively handling extensive datasets. The proposed work introduces a Dilated Bottleneck Attention-based Renal Network (DBAR-Net) to automate...

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Bibliografische Detailangaben

Hauptverfasser:	J. Jenifa Sharon, L. Jani Anbarasi
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2025-03-01
Schriftenreihe:	Scientific Reports
Schlagworte:	Renal disease Transfer learning models DBAR_Net model Pattern recognition module and bottleneck attention module
Online-Zugang:	https://doi.org/10.1038/s41598-025-90519-w
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