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.
Authors
- Rahul Agrawal (ORCID: https://orcid.org/0000-0002-3129-6698)
- Sharayu Zade
- Chetan Dhule (ORCID: https://orcid.org/0000-0003-4116-9251)
- Vedanti Tidke
- Harshita Bhimarapu
- Nekita Chavhan Morris
Institutions
- Raisoni Group of Institutions (IN)
Publication Details
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1109/icccit62592.2025.10927913
- Citations
- 1
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.84