Classification of Pneumonia based on a Concatenated CNN

Бурибоев, А.Ш.

Рақамли технологияларнинг назарий ва амалий масалалари · 2025-yil

Annotatsiya

In this study, a concatenated CNN model for pneumonia detection is proposed, combined with an image enhancement method based on fuzzy logic. The image enhancement process utilizes a novel refined fuzzification algorithm, which significantly improves image quality and feature extraction efficiency for the CCNN model. Four datasets were used for training: original images and images processed using fuzzy entropy, standard deviation, and histogram equalization. The results showed that using enhanced datasets notably increased the CCNN’s performance, with the fuzzy entropy–enhanced dataset yielding the best results. The proposed CCNN model achieved outstanding classification metrics, including 98.9% accuracy, 99.3% precision, 99.8% F1-score, and 99.6% recall. Experimental comparisons demonstrated that fuzzy logic–based image enhancement significantly outperforms traditional methods, providing higher diagnostic accuracy. This research highlights the effectiveness of integrating deep learning models with advanced image enhancement techniques for medical image analysis.

Maqola ma’lumotlari
MualliflarБурибоев, А.Ш.
JurnalРақамли технологияларнинг назарий ва амалий масалалари
NashriyotТАТУ Самарқанд филиали
ISSN2181-3086, 2181-3094
Nashr sanasi2025-10-30
Jild8
Son4
Betlar71-78
TilIngliz
Ilmiy sohaTexnika
DOI10.62132/ijdt.v8i4.304
Indeksga qo‘shilgan2026-08-26

DOI: 10.62132/ijdt.v8i4.304 · Maqolaning asl sahifasi

Kalit so‘zlar

классификация, нечеткая логика, фаззификация, данные, конкатенированная CNN, classification, fuzzy logic, fuzzification, data, concatenated CNN

Ilmiy soha

Texnika

Iqtibos keltirish

APAБурибоев, А.Ш. (2025). Classification of Pneumonia based on a Concatenated CNN. Рақамли технологияларнинг назарий ва амалий масалалари, 8(4), 71-78. https://doi.org/10.62132/ijdt.v8i4.304
GOST (OAK)Бурибоев, А.Ш. Classification of Pneumonia based on a Concatenated CNN // Рақамли технологияларнинг назарий ва амалий масалалари. – 2025. – T. 8, № 4. – P. 71-78. – DOI: 10.62132/ijdt.v8i4.304.
MLAБурибоев, А.Ш. “Classification of Pneumonia based on a Concatenated CNN.” Рақамли технологияларнинг назарий ва амалий масалалари, 8(4), 71-78, 2025. https://doi.org/10.62132/ijdt.v8i4.304
ChicagoБурибоев, А.Ш. “Classification of Pneumonia based on a Concatenated CNN.” Рақамли технологияларнинг назарий ва амалий масалалари, 8(4), 71-78 (2025). https://doi.org/10.62132/ijdt.v8i4.304
HarvardБурибоев, А.Ш (2025) ‘Classification of Pneumonia based on a Concatenated CNN’, Рақамли технологияларнинг назарий ва амалий масалалари, 8(4), 71-78. https://doi.org/10.62132/ijdt.v8i4.304
BibTeX
@article{article2025,
  title = {Classification of Pneumonia based on a Concatenated CNN},
  author = {Бурибоев, А.Ш.},
  journal = {Рақамли технологияларнинг назарий ва амалий масалалари},
  year = {2025},
  volume = {8},
  number = {4},
  pages = {71-78},
  doi = {10.62132/ijdt.v8i4.304},
  url = {https://doi.org/10.62132/ijdt.v8i4.304}
}

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