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Author

Hüseyin Üzen

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2 papers indexed here

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Open access Sep 2026

Comparative Evaluation of U-Net-Based Models for Lung Lesion Segmentation in CT Images

Lung cancer remains one of the leading causes of cancer-related deaths worldwide, and early detection plays a crucial role in improving treatment success and patient survival. In this study, the problem of lesion segmentation in lung computed tomography (CT) images was addressed, and the performance of different U-Net-...

Murat Kılıç, Abdulkadir Yelman, Hüseyin Üzen et al. · 0 citations
Jul 2026

Deep Learning-Assisted Three-Dimensional Segmentation of Vertebrobasilar Artery Calcification in Cone Beam Computed Tomography.

ImprovedVertebroV5, a 3D U-Net architecture incorporating focal attention mechanisms, small-object detection modules, and pyramid pooling for context aggregation, demonstrated promising internal validation performance for automated VBAC segmentation on CBCT images and may support the future development of opportunistic...

Kardelen Demirezer, S. Özçelik, O. Altun et al. · 0 citations

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