A cnn–transformer hybrid model for detecting and classifying brain tumors based on MRI images

D. T. Muhamediyeva, N.S. Mamatov, A.F. Isoqov, I.J. Juraev, Sh.E. Jovliboyev

Samarqand davlat universiteti ilmiy tadqiqotlar axborotnomasi · 2026-yil

Annotatsiya

This paper examines the problem of automatically detecting and classifying brain tumors based on magnetic resonance imaging (MRI) of the brain. The study analyzes the existing shortcomings of traditional machine learning and deep learning approaches, in particular their limitation to local features and their insufficient consideration of global spatial dependencies. To address this problem, a hybrid model combining convolutional neural networks with the self-attention mechanism of the Transformer architecture is proposed. The model enables the joint learning of local and global image features. Experiments were conducted on a four-class (glioma, meningioma, no tumor, and pituitary tumor) MRI image dataset. The results demonstrated the stable performance of the proposed model, medium-to-high accuracy, and good generalization ability. The computational complexity and stability of the model were also theoretically substantiated.

Maqola ma’lumotlari
MualliflarD. T. Muhamediyeva, N.S. Mamatov, A.F. Isoqov, I.J. Juraev, Sh.E. Jovliboyev
JurnalSamarqand davlat universiteti ilmiy tadqiqotlar axborotnomasi
NashriyotСамарқанд давлат университети
ISSN2091-5446, 2181-1296
Nashr sanasi2026-07-01
Jild2
Son3
Betlar186-194
TilIngliz
Ilmiy sohaTexnika
DOI10.59251/2181-3973.2025.v1.138.1.3994
Indeksga qo‘shilgan2026-09-02

DOI: 10.59251/2181-3973.2025.v1.138.1.3994 · Maqolaning asl sahifasi

Ilmiy soha

Texnika

Iqtibos keltirish

APAD. T. Muhamediyeva, N.S. Mamatov, A.F. Isoqov, I.J. Juraev, & Sh.E. Jovliboyev (2026). A CNN–TRANSFORMER HYBRID MODEL FOR DETECTING AND CLASSIFYING BRAIN TUMORS BASED ON MRI IMAGES. Samarqand davlat universiteti ilmiy tadqiqotlar axborotnomasi, 2(3), 186-194. https://doi.org/10.59251/2181-3973.2025.v1.138.1.3994
GOST (OAK)D. T. Muhamediyeva va b. A CNN–TRANSFORMER HYBRID MODEL FOR DETECTING AND CLASSIFYING BRAIN TUMORS BASED ON MRI IMAGES // Samarqand davlat universiteti ilmiy tadqiqotlar axborotnomasi. – 2026. – T. 2, № 3. – P. 186-194. – DOI: 10.59251/2181-3973.2025.v1.138.1.3994.
MLAD. T. Muhamediyeva, N.S. Mamatov, A.F. Isoqov, I.J. Juraev, and Sh.E. Jovliboyev. “A CNN–TRANSFORMER HYBRID MODEL FOR DETECTING AND CLASSIFYING BRAIN TUMORS BASED ON MRI IMAGES.” Samarqand davlat universiteti ilmiy tadqiqotlar axborotnomasi, 2(3), 186-194, 2026. https://doi.org/10.59251/2181-3973.2025.v1.138.1.3994
ChicagoD. T. Muhamediyeva, N.S. Mamatov, A.F. Isoqov, I.J. Juraev, and Sh.E. Jovliboyev. “A CNN–TRANSFORMER HYBRID MODEL FOR DETECTING AND CLASSIFYING BRAIN TUMORS BASED ON MRI IMAGES.” Samarqand davlat universiteti ilmiy tadqiqotlar axborotnomasi, 2(3), 186-194 (2026). https://doi.org/10.59251/2181-3973.2025.v1.138.1.3994
HarvardD. T. Muhamediyeva, N.S. Mamatov, A.F. Isoqov, I.J. Juraev, and Sh.E. Jovliboyev (2026) ‘A CNN–TRANSFORMER HYBRID MODEL FOR DETECTING AND CLASSIFYING BRAIN TUMORS BASED ON MRI IMAGES’, Samarqand davlat universiteti ilmiy tadqiqotlar axborotnomasi, 2(3), 186-194. https://doi.org/10.59251/2181-3973.2025.v1.138.1.3994
BibTeX
@article{dtmuhamediyeva2026,
  title = {A CNN–TRANSFORMER HYBRID MODEL FOR DETECTING AND CLASSIFYING BRAIN TUMORS BASED ON MRI IMAGES},
  author = {D. T. Muhamediyeva and N.S. Mamatov and A.F. Isoqov and I.J. Juraev and Sh.E. Jovliboyev},
  journal = {Samarqand davlat universiteti ilmiy tadqiqotlar axborotnomasi},
  year = {2026},
  volume = {2},
  number = {3},
  pages = {186-194},
  doi = {10.59251/2181-3973.2025.v1.138.1.3994},
  url = {https://doi.org/10.59251/2181-3973.2025.v1.138.1.3994}
}

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