REVOLUTIONIZING X-RAY ANALYSIS: THE ROLE OF COMPUTER VISION IN DETECTING FRACTURES, TUMORS AND ABNORMALITIES

Article Sidebar

Pdf
Published: 2024-05-18
DOI: https://doi.org/10.5281/
Keywords:
computer vision, X-ray analysis, fracture detection, tumor identification, abnormality detection, artificial intelligence, clinical impact, future perspectives, diagnostic medicine

Main Article Content

Turgunov Abrorjon
Tashkent University of Information Technologies, PhD
Xolmuminov Yusuf
Tashkent University of Information Technologies
Abdullaev Hayotjon
Tashkent University of Information Technologies
Rahmatullaev Jasurbek
Tashkent University of Information Technologies
Abdulxamidov Abrorbek
Tashkent University of Information Technologies
Berdiqulov Abdulaziz
Tashkent University of Information Technologies

Abstract

This article explores the transformative impact of computer vision in the realm of X-ray analysis, focusing on its role in detecting fractures, tumors, and various abnormalities. The integration of advanced algorithms brings precision and efficiency to diagnostic imaging, revolutionizing traditional methods. Key applications include fracture detection, tumor identification, and the ability to discern a spectrum of abnormalities in X-ray images. The article discusses the clinical implications, future perspectives, challenges, and ethical considerations associated with this dynamic synergy between technology and healthcare.

Downloads

Download data is not yet available.

Article Details

Issue

Vol. 1 No. 1 (2024): ZAMONAVIY INNOVATSION TADQIQOTLARNING DOLZARB MUAMMOLARI VA RIVOJLANISH TENDENSIYALARI: YECHIMLAR VA ISTIQBOLLAR mavzusidagi Respublika ilmiy-texnik anjuman (2024-yil 17-18-may) (1-qism)

Section

Articles
Creative Commons License

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

How to Cite

Turgunov, A., Xolmuminov, Y., Abdullaev, H., Rahmatullaev, J., Abdulxamidov, A., & Berdiqulov, A. (2024). REVOLUTIONIZING X-RAY ANALYSIS: THE ROLE OF COMPUTER VISION IN DETECTING FRACTURES, TUMORS AND ABNORMALITIES. Konferensiyalar, 1(1), 100-104. https://doi.org/10.5281/

References

“Medical imaging: principles and practices” by Mostafa Analoui and Ronald M. Lanza. - 2012. - № 3(19). - pp. 134-144.

Endocrinology “Algorithms and applications” by Richard Szeliski. - 2022. - № 2(17). - pp. 110-120.

Journal – “IEEE transactions on medical imaging”.

Handbook of medical imaging: processing and analysis.

Similar Articles

You may also start an advanced similarity search for this article.