OVERVIEW OF IMAGE ENHANCEMENT METHODS FOR MEDICAL IMAGING USING COMPUTER VISION

Authors

  • Allamuratova Nilufar Kuatovna Nukus branch of TUIT, Uzbekistan, Nukus
  • Seytimbetov Dauletyar Mambetyarovich TUIT, Uzbekistan, Tashkent

Keywords:

Image enhancement, computer vision, medical imaging, noise reduction, contrast enhancement, image restoration, X-ray imaging, MRI imaging, CT imaging, ultrasound imaging, research directions

Abstract

Image enhancement methods using computer vision play a vital role in improving the quality and interpretability of medical images. This article provides an overview of image enhancement techniques, including noise reduction, contrast enhancement, and image restoration, and their applications in medical imaging, such as X-ray imaging, MRI imaging, CT imaging, and ultrasound imaging.

References

Y.Mohamed, Y.Abdallah, T.Alqahtani. Research in Medical Imaging Using Image Processing Techniques. Medical Imaging - Principles and Applications. 2019

S.S.Rana. A Review of Medical Image Enhancement Techniques for Image Processing. International Journal of Current Engineering and Technology. 2011

Andre Esteva, Katherine Chou, Serena Yeung, Nikhil Naik, Ali Madani, Ali Mottaghi, Yun Liu, Eric Topol, Jeff Dean & Richard Socher. Deep learning-enabled medical computer vision. npj Digital Medicine volume 4. 2021

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Published

2023-05-27

How to Cite

Allamuratova Nilufar Kuatovna, & Seytimbetov Dauletyar Mambetyarovich. (2023). OVERVIEW OF IMAGE ENHANCEMENT METHODS FOR MEDICAL IMAGING USING COMPUTER VISION. QUALITY OF TEACHER EDUCATION UNDER MODERN CHALLENGES, 1(1), 215–221. Retrieved from https://uzresearchers.com/index.php/IFTE23/article/view/283

Issue

Section

Воспитание в современных социокультурных условиях: традиции, новые подходы, ответственность