Deep learning for chest radiographs : computer-aided classification /: computer-aided classification. (2021)

• Record Type: Book
• Further Information: Note: Yashvi Chandola, Jitendra Virmani, H.S Bhadauria, Papendra Kumar.
• Authors: Chandola, Yashvi; Virmani, Jitendra; Bhadauria, H. S; Kumar, Papendra
• Contents: 1. Introduction 2. Review of Related Work 3. Methodology Adopted for Designing of Computer-Aided Classification Systems for Chest Radiographs 4. End-to-end Pre-trained CNN-based Computer-Aided Classification System design for Chest Radiographs 5. Hybrid Computer-Aided Classification System Design Using End-to-end Pre-trained CNN-based Deep Feature Extraction and ANFC-LH Classifier for Chest Radiographs 6. Hybrid Computer-Aided Classification System Design Using End-to-end Pre-trained CNN-based Deep Feature Extraction and PCA-SVM Classifier for Chest Radiographs 7. Light-weight End-to-end Pre-trained CNN-based Computer-Aided Classification System Design for Chest Radiographs 8. Hybrid Computer-Aided Classification System Design Using Light-weight End-to-end Pre-trained CNN-based Deep Feature Extraction and ANFC-LH Classifier for Chest Radiographs 9. Hybrid Computer-Aided Classification System Design Using Light-weight End-to-end Pre-trained CNN-based Deep Feature Extraction and PCA-SVM Classifier for Chest Radiographs 10. Comparative Analysis of Computer-Aided Classification Systems Designed for Chest Radiographs: Conclusion and Future Scope
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2021
• Extent: 1 online resource
• Subjects: 616.0757; Chest -- Radiography; Artificial intelligence -- Medical applications; Pneumonia -- Diagnosis; Pneumonia -- Imaging
• Languages: English
• ISBNs: 9780323906869
• Related ISBNs: 9780323901840
• Notes: Note: Description based on CIP data; resource not viewed.
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