EARLY DETECTION AND PREVENTION OF RESPIRATORY DISEASES AMONG RESIDENTS OF INDUSTRIAL AREAS THROUGH RADIOLOGICAL IMAGE ANALYSIS

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Autore principale: Oribjonov Otabek
Natura: Recurso digital
Pubblicazione: Zenodo 2025
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author Oribjonov Otabek
author_facet Oribjonov Otabek
contents <h1><em><span lang="EN-US">Environmental pollution caused by industrial activities has a profound impact on respiratory health, particularly among populations living in close proximity to industrial zones. </span></em></h1> <h1><em><span lang="EN-US">This thesis explores the role of artificial intelligence (AI)-based radiological image analysis, particularly chest X-rays, in the early detection and prevention of respiratory diseases in these vulnerable populations. By applying convolutional neural networks (CNNs) to chest radiographs, the study aims to identify early pathological signs of diseases such as chronic bronchitis, pneumoconiosis, and early-stage pneumonia, which are commonly observed in industrial environments.</span></em></h1>
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publishDate 2025
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spellingShingle EARLY DETECTION AND PREVENTION OF RESPIRATORY DISEASES AMONG RESIDENTS OF INDUSTRIAL AREAS THROUGH RADIOLOGICAL IMAGE ANALYSIS
Oribjonov Otabek
<h1><em><span lang="EN-US">Environmental pollution caused by industrial activities has a profound impact on respiratory health, particularly among populations living in close proximity to industrial zones. </span></em></h1> <h1><em><span lang="EN-US">This thesis explores the role of artificial intelligence (AI)-based radiological image analysis, particularly chest X-rays, in the early detection and prevention of respiratory diseases in these vulnerable populations. By applying convolutional neural networks (CNNs) to chest radiographs, the study aims to identify early pathological signs of diseases such as chronic bronchitis, pneumoconiosis, and early-stage pneumonia, which are commonly observed in industrial environments.</span></em></h1>
title EARLY DETECTION AND PREVENTION OF RESPIRATORY DISEASES AMONG RESIDENTS OF INDUSTRIAL AREAS THROUGH RADIOLOGICAL IMAGE ANALYSIS
url https://doi.org/10.5281/zenodo.15286886