RAPID-Net: Reduced architecture for pneumonia in infants detection using deep convolutional framework using chest radiograph

Author:

Dabre Kanchan,Varma Satishkumar L.ORCID,Patil Pankaj B.

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference52 articles.

1. Pneumonia classification using quaternion deep learning;Singh;Multimed. Tools Appl.,2022

2. ChxCapsNet: deep capsule network with transfer learning for evaluating pneumonia in paediatric chest radiographs;Bodapati;Elsevier, Measurement: J. Int. Measur. Confed.,2022

3. J. Bodapati, J. Devi, B.R. Vn, V. Dondeti, J.D. Bodapati, V.N. Rohith, Ensemble of Deep Capsule Neural Networks: An Application to Pneumonia Prediction, arxiv, 2022.

4. Deep learning on compressed sensing measurements in pneumonia detection;Islam;Int. J. Imaging Syst. Technol.,2022

5. COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images;Shiri;Int. J. Imaging Syst. Technol.,2022

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