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Brain Cysts and Cystic Tumors Classification Based on New Deep Learning Hybrid Structure

Iranian Journal of Science · Ocak 2025

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YÖKSİS Kayıtları
Brain Cysts and Cystic Tumors Classification Based on New Deep Learning Hybrid Structure
Iran Journal of Science · 2025 SCI-Expanded
DOKTOR ÖĞRETİM ÜYESİ AYNUR YONAR →

Makale Bilgileri

DergiIranian Journal of Science
Yayın TarihiOcak 2025
DOI10.1007/s40995-025-01824-y
Scopus ID2-s2.0-105005099700
Özet This study presents a new deep learning approach for detecting brain cysts and cystic tumors using magnetic resonance imaging (MRI). The research utilizes six datasets containing MRI images of both pediatric and adult brains to improve classification accuracy and model reliability. The datasets include T1-weighted sagittal and T2-weighted images, with data augmentation techniques used to balance the classes. The proposed hybrid model combines convolutional neural networks, genetic algorithms (GA), and artificial neural networks (ANN) to enhance performance. The OzNet-GA-ANN model achieves remarkable accuracy: 100% for Dataset 1 (T1-weighted sagittal images), 99.06% for Dataset 2 (T2-weighted images), 98.08% for Dataset 3, 99.17% for Dataset 4, 98.66% for Dataset 5 (cystic tumor dataset), and 95.20% for Dataset 6 (augmented cystic tumor dataset). These results suggest that T1-weighted sagittal images provide better diagnostic accuracy than T2-weighted images for detecting pediatric brain cysts. Furthermore, the hybrid model performs consistently well across different datasets, demonstrating its reliability and potential for real-world applications. This study offers a promising approach for improving the classification of brain cysts and cystic tumors in medical imaging.

Yazarlar (4)

1
Orhan Coskun
2
Oznur Ozaltin
ORCID: 0000-0001-9841-1702
3
Aynur Yonar
4
Ozgur Yeniay

Anahtar Kelimeler

Artificial neural network Brain cysts Convolution neural network Genetic algorithm

Kurumlar

Hacettepe Üniversitesi
Ankara Turkey
Selçuk Üniversitesi
Selçuklu Turkey
University of Health Sciences
Istanbul Turkey

Sistemimizdeki Yazarlar

AY
AYNUR YONAR
DOKTOR ÖĞRETİM ÜYESİ

Hızlı Erişim

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