Author

Mete Yağanoğlu

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#artificial intelligence Sep 2026

Neural Gas Network-Based Distinction Between Brain Cysts and Tumors from Magnetic Resonance Images Using a Hybrid Deep Learning Algorithm.

This work highlights a novel and robust Artificial Intelligence (AI)-based strategy for distinguishing brain cysts from tumors in MRI, with superior performance in complex diagnostic scenarios.

Mete Yağanoğlu, Oznur Ozaltin, Orhan Coşkun · Big Data · 0 citations

Open access Jul 2026

Lung Cancer Classification from CT Images Using Ensemble Transfer Learning of VGG16, ResNet50V2 and MobileNetV2

An ensemble approach that brings pre-trained VGG16, ResNet50V2, and MobileNetV2 together in a single framework, classifying lung CT images as benign, malignant, or normal is proposed, indicating that ensemble transfer learning can serve as a supporting tool in lung cancer screening.

İshak Sis, Mete Yağanoğlu, Adem Maman · Applied Sciences · 0 citations