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Author

Muammer Türkoğlu

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2 papers indexed here

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Oct 2026

Automated Multi-class Segmentation of Mandibular Odontogenic Cysts and the Mandibular Canal on CBCT Images Using a Hybrid Deep Learning Framework.

The proposed framework allows for the simultaneous and objective segmentation of mandibular odontogenic cysts and the mandibular canal within a unified, multi-class CBCT analysis framework, and could serve as a technical foundation for future quantitative analyses of lesion-canal relationships.

Adalet Çelebi, Dilan Aykanat, Ozgur Tonkal et al. · 0 citations
Conference Open access Sep 2026

A DenseNet-121-Based Multi-Scale Attention Fusion Framework for Peripheral Blood Cell Classification

Automated peripheral blood cell classification is significant in computer-aided hematological diagnosis. However, the extreme class imbalance and morphological resemblance of leukocyte subtypes pose obstacles to accurate classification. In this paper, a custom DenseNet-121 architecture with a lightweight multi-scale at...

Deniz Bora Küçük, Hüseyin Polat, Muammer Türkoğlu et al. · 0 citations

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