1. Pneumonia Detection on Chest X-Ray Using Convolutional Neural Network and Transfer Learning.
- Author
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Bhakgya M. and Manoranjitham A.
- Subjects
- *
SIGNAL convolution , *CONVOLUTIONAL neural networks , *COMPUTER-aided diagnosis , *X-ray detection , *X-ray imaging , *COMPUTER-assisted image analysis (Medicine) - Abstract
Diagnosis of thorax diseases is most commonly done by examining the Chest X-rays (CXR). Computer-aided diagnosis (CAD) System assist radiologists in the interpretation of medical images. CAD improves the quality of diagnosis and leverages the productivity of radiologists. Several Deep Learning algorithms have been successfully implemented in order to provide fully-automated, high precision Computer-aided diagnosis (CAD) Systems. In this paper, a dedicated X-ray network trained from scratch for Chest X-Ray image classification is explored. Further, transfer learning using powerful network architecture like MobileNet, InceptionV3, VGG19 and ResNet-50 are investigated in detail. Limited availability of annotated Chest X-ray images makes medical image classification challenging. Transfer learning approach with and without fine-tuning can help overcome this issue by transferring the knowledge gained from pre-trained networks to domain specific tasks. The experimental study is tested on the dataset of Chest X-Ray images, consisting of 2 categories, Pneumonia and Normal. [ABSTRACT FROM AUTHOR]
- Published
- 2021