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- W4212938547 abstract "X-ray imaging is a widely used diagnostic technique employed in medicine to detect abnormalities of the body. X-ray is based on the differential absorption of X-rays by different parts of our bodies. X-ray has also been used to detect pneumonia in the lungs by looking for the presence of patches of inflammation. In this chapter, an automated method of pneumonia detection has been discussed using X-ray images. A Two-Dimensional Convolutional Neural Network (2D CNN) has been implemented in this chapter using python for medical image classification. The X-ray images are classified into two classes, i.e., normal and pneumonia-infected lungs’ images. The methods of performance evaluation of such models along with how to interpret their results have also been shown." @default.
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- W4212938547 date "2022-02-17" @default.
- W4212938547 modified "2023-09-25" @default.
- W4212938547 title "Pneumonia Detection from X-Ray Images by Two Dimensional Convolutional Neural Network on Python Platform" @default.
- W4212938547 doi "https://doi.org/10.1201/9781003241409-15" @default.
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