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5 articles for “lung disease detection”

• Published Subscription 21 Nov 2025

  A Review on Design and Analysis Model for Detectionand Classification of Lung Diseases Using Medical Images

  By Kishor T. Ugale, Hemant Patidar

  Abstract: A key component of the human respiratory system, the lung regulates blood oxygen levels through gasexchange. Diseases linked to the lungs are becoming more common as pollution levels rise. In order topreserve human life, it is crucial to identify lung disorders early. In order to forecast lung disease, clinicalprofessionals analyze medical imaging, such as CT or X-rays. Clinicians identify lung disease by applyingtheir medical expertise and knowledge. Because expert knowledge …

  Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 Read article →

• Published Subscription 19 Jul 2022

  Deep Learning to Detect Pneumonia from Chest X-Ray Image

  By Kirti Mhamunkar, Soham Sandeep Balekar, Aatish Sanjay Bhilare, Anish Harishchandra Bhoir

  Abstract: Pneumonia is an acute pulmonary infection that is caused by viruses or by bacteria and it causes inflammation in the lungs. In 2019, a total of 2.5 million people died because of pneumonia, out of which, one third were younger than the age of 5. This infection was diagnosed by taking a chest Xray. The prediction of diseases is mainly based on human knowledge. In this, the probability of human …

  Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 1, 2022 · pp. 8–14 Read article →

• Published Subscription 14 Jul 2022

  Breast Tumor Classification Using Machine Learning Algorithm

  By Mohammed Shoaib, Sukkala Tharun Kumar Goud, V. Satya Bharathwaj, Y. Sreenivasulu

  Abstract: Breast cancer is characterized by genetic mutations, periodic pain, changes in the length, color (redness) and texture of the breast skin. The categories of most types of breast cancer led the pathologist to a systematic and objective prognostic analysis. In general, the most common category is binary (benign/malignant). Today, Learning Gadget (ML) strategies are widely used in breast cancer classification problems. Offers extreme accuracy and powerful diagnostic technology. It kills …

  Published in International Journal of Microwave Engineering and Technology · Vol. 8, Issue 1, 2022 · pp. 35–40 Read article →

• Published Subscription 22 Dec 2023

  COVID-19 Detection Using Decision Tree Support Vector Machine Random Forest.

  By Kilari Veera Swamy, Diwakaruni Sundara Sasi Koushik, Sai Vamshi Chidire

  Abstract: The rapidly spreading novel coronavirus (SARS-CoV-2) presents a substantial global health risk, necessitating swift detection through efficient diagnostic methods. Reports highlight lung-related issues in many COVID-19 patients, and both chest CT scans and X-rays are effective in identification. Chest X-ray (CXR) imaging, due to its convenience, faster imaging, simplicity, and lower cost, stands out. In our study, we applied Decision Tree, Random Forest, and Support Vector Machine to identify COVID-19 …

  Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 7–21 Read article →

• Published Subscription 29 Oct 2020

  Managing Exacerbation of asthma

  By Urmal .

  Abstract: Asthma is an inflammatory disease of the Airways and is a common chronic health problem to school age children which affect their performance as well as quality of life call 2011 exhibitions for a series of events that it your rate the pre-existing health problems mattress paper door polish 2012 multiple factors lies Black Or Hispanic ethnicity and 48 replies lack of insurance respiratory infections allergens and improper use of …

  Published in International Journal of Medical Surgical Nursing · Vol. 3, Issue 2, 2020 · pp. 16–21 Read article →