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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM28745
Volume:
8 |
2 |
Feb 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
AI-Powered Chest Disease Detection and Classification using Deep Learning Method presents an innovative approach to revolutionize chest disease diagnosis through the integration of advanced deep learning techniques. This initiative focuses on the development of an intelligent system that can effectively detect and classify a variety of chest diseases by analysing medical images, such as chest X-rays and CT scans. At its core, the project involves the compilation and preparation of a diverse dataset containing both normal and disease-affected chest images. Leveraging the capabilities of deep learning, particularly convolutional neural networks (CNNs), the project then designs and trains models to learn intricate patterns and features indicative of different chest diseases. The models are optimized for accuracy and robustness. This efficiency translates to quicker diagnoses, enabling prompt medical interventions. The AI system serves as a complementary tool for healthcare professionals, aiding in decision-making by providing valuable insights and augmenting their expertise.
KEYWORDS
Publication Date
12/31/45342
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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