THE IMPORTANCE OF STUDYING MEDICAL BIOLOGICAL SIGNAL AND IMAGE PROCESSING METHODS USING MODERN TECHNOLOGIES

Authors

  • Komilov Sherbek Elbek ugli, Maxmudjonova Mehribon Umedovna, Muzrabov Jahongir Ziyodillayivich, Kamalbayeva Diana Pulat kizi, Ne’matov Nizom Ismatullayevich Students of Samarkand State Medical University, Supervisor, Assistant, Samarkand State Medical University

Keywords:

biomedical signal processing, medical image processing, artificial intelligence, digital healthcare, diagnostic

Abstract

The rapid advancement of modern technologies has significantly enhanced the study and application of medical biological signal and image processing. These methods play a crucial role in analyzing complex physiological signals and medical images, enabling accurate diagnosis, monitoring, and treatment planning. This article examines the importance of studying medical biological signal and image processing using contemporary technologies and highlights their applications in modern healthcare. The analysis demonstrates that advanced computational methods contribute substantially to improving diagnostic accuracy, clinical efficiency, and patient outcomes.

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References

Rangayyan, R. M. Biomedical Signal Analysis: A Case-Study Approach.

Gonzalez, R. C., & Woods, R. E. Digital Image Processing.

IEEE Engineering in Medicine and Biology Society. Advances in Biomedical Signal Processing.

Litjens, G., et al. A survey on deep learning in medical image analysis. Medical Image Analysis.

Clifford, G. D., et al. Advanced methods and tools for ECG data analysis

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Published

2025-12-22

How to Cite

Komilov Sherbek Elbek ugli, Maxmudjonova Mehribon Umedovna, Muzrabov Jahongir Ziyodillayivich, Kamalbayeva Diana Pulat kizi, Ne’matov Nizom Ismatullayevich. (2025). THE IMPORTANCE OF STUDYING MEDICAL BIOLOGICAL SIGNAL AND IMAGE PROCESSING METHODS USING MODERN TECHNOLOGIES. Journal of Applied Science and Social Science, 15(12), 1057–1059. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/2775

Issue

Vol. 15 No. 12 (2025): Volume 15 Issue 12

Section

Articles

License

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