Detection Of Pulmonary Diseases in Lung Using CT & X-ray Images CNN

Author(s)	Praveen Kumar A, Asan Nainar M, Sam Ruban D, Rahul Raj K, Ranjith S
Country	India
Abstract	This study presents a deep learning approach utilizing Convolutional Neural Networks (CNNs) for the detection of pulmonary diseases from CT and X-ray images. With the rising prevalence of respiratory illnesses, accurate and efficient diagnosis is crucial for timely treatment. The proposed CNN framework leverages its ability to automatically learn discriminative features from medical images, enabling robust disease detection. By training on a diverse dataset comprising CT and X-ray scans, the model achieves high sensitivity and specificity in identifying common pulmonary conditions such as Covid-19 & Effusion Disease. The results demonstrate the potential of CNNs as a valuable tool in the early detection and management of respiratory diseases, contributing to improved patient outcomes and healthcare delivery.
Keywords	Covid-19, Effusion, CT images, X-ray Images, CNN.
Published In	Volume 6, Issue 2, March-April 2024
Published On	2024-04-25
Cite This	Detection Of Pulmonary Diseases in Lung Using CT & X-ray Images CNN - Praveen Kumar A, Asan Nainar M, Sam Ruban D, Rahul Raj K, Ranjith S - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.18309
DOI	https://doi.org/10.36948/ijfmr.2024.v06i02.18309
Short DOI	https://doi.org/gtsg6h

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