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Open access Sep 2026

Lightweight Deep Learning CNN Architecture Enhanced by Squeeze-and-Excitation Attention for Bridge Crack Image Analysis

Cracks that develop over time in bridges, which are an important part of transportation infrastructure, pose a structural safety risk when detected late and can lead to increased repair costs. This study aims to demonstrate the effectiveness of convolutional neural network (CNN) based deep learning architectures enhanc...

M. Uçan, Ibrahim Baran Karasin · 0 citations
Review Open access Sep 2026

StrokeCT-2C5K: A Two-Center Cranial CT Dataset for Four-Class Stroke Classification Using SE-Attention-Enhanced Deep Learning Models

Stroke is one of the leading causes of mortality and long-term neurological disability worldwide, and early diagnosis through accurate disease classification directly affects treatment success. Rapid differentiation of hemorrhagic and ischemic stroke on computed tomography (CT) images, together with accurate determinat...

A. Karlı, M. Uçan, Buket Kaya · 0 citations

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