Retracted : Detection of Pneumonia Using Deep Learning
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Abstract
The main idea of the research paper is to detect pneumonia from the patient’s chest x- rays. Pneumonia is the infection that causes inflammation of the air sacs in one or both the lungs. The air sacs are filled with purulent material (pus) causing breath shortness, cough, fever, chills.A variety of bacteria, viruses, and fungi can cause pneumonia. In this paper, we used machine learning algorithms to process x-ray images to determine whether or not the patient has pneumonia. This Experiment focusses on the use of deep learning algorithms with VGG16 pre-processing, keras and adams in order to build a model with high accuracy.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
Nishant Borkar, Shri Ramdeobaba College of Engineering and Management, Nagpur
Nishant M borkar is a assistant professorat Shri Ramdeobaba College of Engineering and management.He is the faculty at Electronics and Communication Department.
E-mail: [email protected]
Atharva Zararia, Shri Ramdeobaba College of Engineering and Management, Nagpur
Atharva Zararia is a Student at Shri Ramdeobaba College of Engineering and management currently studying in 4th year (7th Sem) pursuing Electronics and Communication Engineering.
E-mail: [email protected]
Riddhi Gangbhoj, Shri Ramdeobaba College of Engineering and Management, Nagpur
Riddhi Gangbhoj is a Student at Shri Ramdeobaba College of Engineering and management currently studying in 4th year(7th Sem) pursuing Electronics and Communication Engineering.
E-mail: [email protected]
Prashant Kumar, Shri Ramdeobaba College of Engineering and Management, Nagpur
Prashant Kumar is a Student at Shri Ramdeobaba College of Engineering and management currently studying in 4th year(7th Sem) pursuing Electronics and Communication Engineering.
E-mail: [email protected]
Vaishnavi Bhaiyya, Shri Ramdeobaba College of Engineering and Management, Nagpur
Vaishnavi Bhaiyya is a Student at Shri Ramdeobaba College of Engineering and management currently studying in 4th year(7th Sem) pursuing Electronics and Communication Engineering.
E-mail: [email protected]
References
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