Deep Learning Applications in Image Analysis
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...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Singapore
Springer Nature Singapore
2023, 2023
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| Edition: | 1st ed. 2023 |
| Series: | Studies in Big Data
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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