Deep Learning Applications in Image Analysis [E-Book] / edited by Sanjiban Sekhar Roy, Ching-Hsien Hsu, Venkateshwara Kagita.
This book provides state-of-the-art coverage of deep learning applications in image analysis. The book demonstrates various deep learning algorithms that can offer practical solutions for various image-related problems; also how these algorithms are used by scientists and scholars in industry and ac...
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Full text |
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| Personal Name(s): | Hsu, Ching-Hsien, editor |
| Kagita, Venkateshwara, editor / Roy, Sanjiban Sekhar, editor | |
| Edition: |
1st edition 2023. |
| Imprint: |
Singapore :
Springer,
2023
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| Physical Description: |
XII, 210 pages 122 illustrations, 96 illustrations in color (online resource) |
| Note: |
englisch |
| ISBN: |
9789819937844 |
| DOI: |
10.1007/978-981-99-3784-4 |
| Series Title: |
Studies in Big Data ;
129 |
| Subject (LOC): |
- Classification and segmentation of images using deep learning
- Image reconstruction, image super-resolution and image synthesis by deep learning techniques
- Deep learning for cancer images
- Deep Learning in Gastrointestinal Endoscopy
- Tumor detection using deep learning
- Deep learning for image analysis using multimodality fusion
- Image quality recognition methods inspired by deep learning
- Advanced Deep Learning methods in computer vision with 3D data
- Deep Learning models to solve the task of MOT(Multiple Object Tracking)
- Deep learning techniques for semantic segmentation of images
- Applications of deep learning for image forensics
- Human action recognition using deep learning
- Application of deep learning in satellite image classification and segmentation.