Open Access Open Access  Restricted Access Subscription or Fee Access

Deep Learning to Detect Pneumonia from Chest X-Ray Image

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 error is quite high. Also, in remote areas, expert doctors are not always available. Our project is about creating a deep learning algorithm-based learning model which can detect a patient with pneumonia by analyzing its X-ray image. We have created CNN and VGG16 based models to predict if the patient is suffering from pneumonia or not. Our proposed system will provide accurate and rapid diagnosis, ensuring timely access to treatment and potentially saving lives.


Full Text:

PDF

References


Rubin J, Sanghavi D, Zhao C, Lee K, Qadir A, Xu-Wilson M. Large Scale Automated Reading of Frontal and Lateral Chest X-Rays Using Dual Convolutional Neural Networks. 2018.

Okeke Stephen, Mangal Sain, Uchenna Joseph Maduh, Do-Un Jeong. An Efficient Deep Learning Approach to Pneumonia Classification in Healthcare. Hindawi, Journal of Healthcare Engineering. 2019; 2019: Article ID 4180949(7p).

Guan Q, Huang Y, Zhong Z, Zheng Z, Zheng L, Yang Y. Diagnose Like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification. 2018.

Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis Langlotz, Katie Shpanskaya, Lungren Matthew P, Ng Andrew Y. CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning. Cornell Univercity; 2017.

Kermany Daniel S, Michael Goldbaum, Wenjia Cai. Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning. Cell. 2018 Feb 22; 172(5): 1122–1131.

Kalyani Kadam, Swati Ahirrao, Harbir Kaur, Shraddha Phansalkar, Ambika Pawar. Deep Learning Approach for Prediction of Pneumonia. Int J Sci Technol Res. 2019 Oct; 8(10): 2936–2939.

Jitendra Sharma. (2021). Introduction to Supervised Deep Learning Algorithms! [Online]. DataScienceBlogathon.https://www.analyticsvidhya.com/blog/2021/05/introduction-to-superviseddeep-learning-algorithms/

Namrata Shukla. (2022 Feb 24). Shiba Inu is a work in progress and Shytoshi wants critics to know it. [Online]. Watcher News. Available from

http://web.archive.org/web/20220225051023/https://watcher.guru/news/shiba-inu-is-a-work-inprogress-and-shytoshi-wants-critics-to-know-it

Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition.arXiv preprint arXiv:1409.1556. 2014 Sep 4.




DOI: https://doi.org/10.37628/ijippr.v8i1.800

Refbacks

  • There are currently no refbacks.