Algorithm for Symmetric Additional Two-Dimensional Delineation of Computer X-Ray Images

Turakulov, Sh.X.

Рақамли технологияларнинг назарий ва амалий масалалари · 2023-yil

Annotatsiya

The COVID-19 epidemic spread to all corners of the world, resulting in numerous infections and deaths. This research proposes a symmetric additional two-dimensional classification framework based on three main modules: the preprocessing module for weakly supervised segmentation (O-WSSPM), the asymmetric two-dimensional module (S-CBM), and the Fuzzy C-Means clustering visualization module (FCMM). The first module, O-WSSPM, extracts additional features from CT images to create a new Data1-Seg dataset, primarily focusing on preserving essential feature areas. The second module, S-CBM, utilizes two asymmetric networks to separate various features and obtain additional functionalities. The third module, FCMM, allows the visualization of lesions in non-contrast images. While the data volume is low, five-fold cross-validation is employed to improve diversity. The proposed network shows an average classification accuracy of 85.3%, demonstrating its superior performance when compared to the baseline six-category classification model.

Maqola ma’lumotlari
MualliflarTurakulov, Sh.X.
JurnalРақамли технологияларнинг назарий ва амалий масалалари
NashriyotТАТУ Самарқанд филиали
ISSN2181-3086, 2181-3094
Nashr sanasi2023-12-26
Jild6
Son4
Betlar58-66
TilIngliz
Ilmiy sohaTexnika
DOI10.62132/ijdt.v6i4.135
Indeksga qo‘shilgan2026-08-26

DOI: 10.62132/ijdt.v6i4.135 · Maqolaning asl sahifasi

Kalit so‘zlar

COVID-19, deep learning, classification, weak supervision, segmentation, additional two-dimensional, FCM, COVID-19, chuqur oʻrganish, tasniflash, zaif nazorat, segmentatsiya, qoʻshimcha ikki chiziqli, FCM

Ilmiy soha

Texnika

Iqtibos keltirish

APATurakulov, Sh.X. (2023). Algorithm for Symmetric Additional Two-Dimensional Delineation of Computer X-Ray Images. Рақамли технологияларнинг назарий ва амалий масалалари, 6(4), 58-66. https://doi.org/10.62132/ijdt.v6i4.135
GOST (OAK)Turakulov, Sh.X. Algorithm for Symmetric Additional Two-Dimensional Delineation of Computer X-Ray Images // Рақамли технологияларнинг назарий ва амалий масалалари. – 2023. – T. 6, № 4. – P. 58-66. – DOI: 10.62132/ijdt.v6i4.135.
MLATurakulov, Sh.X. “Algorithm for Symmetric Additional Two-Dimensional Delineation of Computer X-Ray Images.” Рақамли технологияларнинг назарий ва амалий масалалари, 6(4), 58-66, 2023. https://doi.org/10.62132/ijdt.v6i4.135
ChicagoTurakulov, Sh.X. “Algorithm for Symmetric Additional Two-Dimensional Delineation of Computer X-Ray Images.” Рақамли технологияларнинг назарий ва амалий масалалари, 6(4), 58-66 (2023). https://doi.org/10.62132/ijdt.v6i4.135
HarvardTurakulov, Sh.X (2023) ‘Algorithm for Symmetric Additional Two-Dimensional Delineation of Computer X-Ray Images’, Рақамли технологияларнинг назарий ва амалий масалалари, 6(4), 58-66. https://doi.org/10.62132/ijdt.v6i4.135
BibTeX
@article{turakulovshx2023,
  title = {Algorithm for Symmetric Additional Two-Dimensional Delineation of Computer X-Ray Images},
  author = {Turakulov, Sh.X.},
  journal = {Рақамли технологияларнинг назарий ва амалий масалалари},
  year = {2023},
  volume = {6},
  number = {4},
  pages = {58-66},
  doi = {10.62132/ijdt.v6i4.135},
  url = {https://doi.org/10.62132/ijdt.v6i4.135}
}

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