Multi Disease Prediction Related to Pulmonary Area by Leveraging Deep Learning

A large portion of the world's healthcare issues are related to conditions that impact the chest, heart, lungs, and respiratory system, which affect millions of people annually. To address this issue, we present the Deep learning-based model, which will detect multi diseases related to pulmonary condition. Multi pulmonary areas disease can be detected if the disease is present in the dataset of X- rays and CT Scans photos. This research shows the count of diseases out of the whole dataset taken. Its motive is to predict multi diseases related to the pulmonary area. This research will help the radiologists to make a quick diagnosis of pulmonary disease conditions. Ultimately, it will help the patients to have an earlier idea about disease to take treatment on time.

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Publication Details

Published
2025-02-07
DOI
https://doi.org/10.1109/icccit62592.2025.10927913
Citations
1
Primary Topic
Brain Tumor Detection and Classification
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article
Field-Weighted Citation Impact
0.84
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Multi Disease Prediction Related to Pulmonary Area by Leveraging Deep Learning

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Brain Tumor Detection and Classification
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article

Multi Disease Prediction Related to Pulmonary Area by Leveraging Deep Learning

Rahul Agrawal, Sharayu Zade, Chetan Dhule, Vedanti Tidke, Harshita Bhimarapu, Nekita Chavhan Morris
article en
1 citations

Abstract

A large portion of the world's healthcare issues are related to conditions that impact the chest, heart, lungs, and respiratory system, which affect millions of people annually. To address this issue, we present the Deep learning-based model, which will detect multi diseases related to pulmonary condition. Multi pulmonary areas disease can be detected if the disease is present in the dataset of X- rays and CT Scans photos. This research shows the count of diseases out of the whole dataset taken. Its motive is to predict multi diseases related to the pulmonary area. This research will help the radiologists to make a quick diagnosis of pulmonary disease conditions. Ultimately, it will help the patients to have an earlier idea about disease to take treatment on time.

Raisoni Group of Institutions (IN)
Openalex Percentile: Top 28%
Brain Tumor Detection and Classification
0.84
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