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İpek Balıkçı Çiçek

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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
#protein folding Open access Oct 2026

Identification of AURKA as a Key Target in Hepatocellular Carcinoma: Integrated Bioinformatics Analysis and Evaluation of Natural Compounds via Molecular Docking

Objective: This study aimed to identify a central molecular target associated with hepatocellular carcinoma (HCC) using bioinformatic methods and to comparatively evaluate the binding potential of reference inhibitors and natural compounds against this target by molecular docking.Materials and Methods: In the GSE76427...

Z. Kucukakcali, İpek Balıkçı Çiçek · 0 citations

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