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Vol. 36 No. 192: Journal of Science and Technology - Smart Systems and Devices 2026
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Research article
How to Cite
Pham Thi Viet, H., Tran Anh, V., Hoang Quang, H., & Phan Ha Van, T. (2026). Application of Adaptive Resizing for Preserving Morphological Features in Human Chromosome Classification. Smart Systems and Devices, 36(192). https://jst.vn/index.php/ssad/article/view/1298

Application of Adaptive Resizing for Preserving Morphological Features in Human Chromosome Classification  

Huong Pham Thi Viet1, Vu Tran Anh2, , Huy Hoang Quang2, Trang Phan Ha Van2
1 International School, Vietnam National University
2 Ha Noi University of Science and Technology, Ha Noi, Vietnam

Main Article Content

Abstract

Several genetic illnesses have been linked to chromosome abnormalities. The diagnosis of these abnormalities has received attention in recent years. One of the most popular and useful ways to solve this problem is based on Karyotyping. Karyotyping is a laboratory procedure that allows doctors to examine a set of chromosomes. Therefore, it plays a crucial role in genetic disorder diagnosis. Karyotyping requires considerable manual effort, domain expertise, experiences, and is very time-consuming. Clinical cytogeneticists frequently utilize karyotyping during metaphase to study human chromosomes for diagnostic purposes. This paper proposed a method to classify human chromosomes, which is an important step in detecting chromosome abnormalities. A highlight from this article is optimizing the quality of the initial dataset by concentrating on preprocessing. Besides, the categorization accuracy of some models belonging to convolutional neural networks is considered, which will be mentioned in the next part. This article’s results outperformed other traditional classifications. Moreover, when comparing with different models of convolutional neural network, model EfficientNet-b3 gave the highest accuracy with the same dataset.

Keywords

Adaptive Resize, Chromosome Classification, Karyotyping, Morphological Features

Article Details

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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

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