The collapse of modern exposures in the recording of X-RAY images in medicine

This article reviewed the methods and algorithms for processing and diagnosing X-ray images that are widely used in medicine today. In order to improve the implementation of deep learning in modern medicine and further improve the widespread use of HMLs, the method, algorithm and model of X-ray image processing using the Raspberry Pi device were analyzed.

Authors

Publication Details

Journal
Международный Журнал Теоретических и Прикладных Вопросов Цифровых Технологий
Published
2024-10-08
DOI
https://doi.org/10.62132/ijdt.v7i3.205
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

The collapse of modern exposures in the recording of X-RAY images in medicine

Otabek Ismailov, Khosiyat Temirova
Международный Журнал Теоретических и Прикладных Вопросов Цифровых Технологий
Radiomics and Machine Learning in Medical Imaging
article

The collapse of modern exposures in the recording of X-RAY images in medicine

Otabek Ismailov, Khosiyat Temirova
article en

Abstract

This article reviewed the methods and algorithms for processing and diagnosing X-ray images that are widely used in medicine today. In order to improve the implementation of deep learning in modern medicine and further improve the widespread use of HMLs, the method, algorithm and model of X-ray image processing using the Raspberry Pi device were analyzed.

Международный Журнал Теоретических и Прикладных Вопросов Цифровых ТехнологийVol. 7(3)
Openalex Percentile: Top 71%
Radiomics and Machine Learning in Medical Imaging
DOIOpen Access PDFOpenAlex
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The collapse of modern exposures in the recording of X-RAY images in medicine — Otabek Ismailov, Khosiyat Temirova · Международный Журнал Теоретических и Прикладных Вопросов Цифровых Технологий (2024) | TGRS Research Map | TGRS