Title of article :
A Review on Detection of Pneumonia in Chest X-ray Images Using Neural Networks
Author/Authors :
Alapat ، Daniel Joseph School of Electrical Engineering - Vellore Institute of Technology , Menon ، Malavika Venu School of Electrical Engineering - Vellore Institute of Technology , Ashok ، Sharmila School of Electrical Engineering - Vellore Institute of Technology
From page :
551
To page :
558
Abstract :
The health organisation has suffered from the lack of diagnosis support systems and physicians in India. Further, the physicians are struggling to treat many patients, and the hospitals also have the lack of a radiologist especially in rural areas; thus, almost all cases are handled by a single physician, leading to many misdiagnoses. Computer aided diagnostic systems are being developed to address this problem. The current study aimed to review the different methods to detect pneumonia using neural networks and compare their approach and results. For the best comparisons, only papers with the same data set Chest X-ray14 are studied.
Keywords :
Pneumonia , Convolution Neural Networks , Mass Chest X , ray , Chest X , ray14 , Diagnosis, Computer , Assisted , Deep Learning
Journal title :
Journal of Biomedical Physics and Engineering
Journal title :
Journal of Biomedical Physics and Engineering
Record number :
2735753
Link To Document :
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