An improved algorithm for processing blood cell images and efficient disease detaction

Iskandarova, Sayyora, Tulaganova , Fotima

Innovations in Science and Technologies · 2025-yil

Annotatsiya

This paper presents an enhanced algorithm for the processing of blood cell images to improve the accuracy and efficiency of disease detection. The proposed method integrates EfficientNet as the encoder and a customized U-Net decoder for segmentation, followed by a CNNbased classification of identified cells. The algorithm addresses challenges in noisy background removal, precise segmentation, and accurate classification of different blood cell types. It was tested on publicly available datasets and compared with traditional models such as ResNet and VGG in terms of accuracy, Dice coefficient, and inference time. The results show a significant improvement in segmentation accuracy (Dice = 0.89) and disease classification performance. The proposed model provides a reliable and efficient solution for medical image analysis, offering potential applications in hematology diagnostics and automated laboratory systems.

Maqola ma’lumotlari
MualliflarIskandarova, Sayyora, Tulaganova , Fotima
JurnalInnovations in Science and Technologies
NashriyotТошкент давлат иқтисодиёт университети
ISSN3030-3451
Nashr sanasi2025-10-13
Jild2
Son8
Betlar80-87
TilIngliz
Ilmiy sohaIqtisodiyot
Indeksga qo‘shilgan2026-08-26

Maqolaning asl sahifasi

Kalit so‘zlar

Blood cell images, segmentation, classification, deep learning, EfficientNet, UNet, CNN, automation, diagnostics, biomedical imaging, Dice coefficient, disease detection, image preprocessing.

Ilmiy soha

Iqtisodiyot

Iqtibos keltirish

APAIskandarova, Sayyora, & Tulaganova , Fotima (2025). AN IMPROVED ALGORITHM FOR PROCESSING BLOOD CELL IMAGES AND EFFICIENT DISEASE DETACTION. Innovations in Science and Technologies, 2(8), 80-87. https://innoist.uz/index.php/ist/article/view/1244
GOST (OAK)Iskandarova, Sayyora, Tulaganova , Fotima AN IMPROVED ALGORITHM FOR PROCESSING BLOOD CELL IMAGES AND EFFICIENT DISEASE DETACTION // Innovations in Science and Technologies. – 2025. – T. 2, № 8. – P. 80-87.
MLAIskandarova, Sayyora, and Tulaganova , Fotima. “AN IMPROVED ALGORITHM FOR PROCESSING BLOOD CELL IMAGES AND EFFICIENT DISEASE DETACTION.” Innovations in Science and Technologies, 2(8), 80-87, 2025. https://innoist.uz/index.php/ist/article/view/1244
ChicagoIskandarova, Sayyora, and Tulaganova , Fotima. “AN IMPROVED ALGORITHM FOR PROCESSING BLOOD CELL IMAGES AND EFFICIENT DISEASE DETACTION.” Innovations in Science and Technologies, 2(8), 80-87 (2025). https://innoist.uz/index.php/ist/article/view/1244
HarvardIskandarova, Sayyora, and Tulaganova , Fotima (2025) ‘AN IMPROVED ALGORITHM FOR PROCESSING BLOOD CELL IMAGES AND EFFICIENT DISEASE DETACTION’, Innovations in Science and Technologies, 2(8), 80-87. https://innoist.uz/index.php/ist/article/view/1244
BibTeX
@article{iskandarovasayyora2025,
  title = {AN IMPROVED ALGORITHM FOR PROCESSING BLOOD CELL IMAGES AND EFFICIENT DISEASE DETACTION},
  author = {Iskandarova, Sayyora and Tulaganova , Fotima},
  journal = {Innovations in Science and Technologies},
  year = {2025},
  volume = {2},
  number = {8},
  pages = {80-87},
  url = {https://innoist.uz/index.php/ist/article/view/1244}
}

Boshqa maqola uchun iqtibos tayyorlash

Innovations in Science and Technologies jurnalidan boshqa maqolalar

Innovations in Science and Technologies — barcha maqolalar · 2025-yil arxivi

Iskandarova, Sayyora — boshqa maqolalari

Iqtisodiyot sohasidagi boshqa maqolalar

Iqtisodiyot sohasidagi OAK jurnallari