Pneumonia Detection Using Deep Learning Algorithms
Dirisala Saikrishna, Mulagala Madhusudhan Rao, Bavisetti Sai Dhanush, Singareddy Harshavardhan, Borra Prudhvi, Pooja Rana, Usha Mittal
Abstract
A disease that occurs in the lungs caused by a bacterial infection is pneumonia. In terms of the effective process of treatment, early diagnosis is a significant factor. The disease will usually be identified by an expert radiologist using chest X-ray images. For certain purposes, diagnosis can be subjective, such as the presence of diseases that may be unclear in chest X-ray images or may be confused with other diseases. Computer-aided diagnostic systems are therefore necessary to direct the clinicians. In this study, several research papers about automated computer-aided detection of pneumonia with help of deep learning and convolutional neural networks were reviewed and different models were compared based on their performance and accuracy along with a conclusion and future work.