This edited book aims to provide comprehensive coverage on cutting edge research and state of the art methods on deep learning applications applied to images, Authors are requested to submit chapters on the following topics (but not limited to):
1. Classification and segmentation of images using deep learning.
2. Image reconstruction, image super-resolution and image synthesis by deep learning techniques.
3. Deep learning for cancer images.
4. Deep Learning in Gastrointestinal Endoscopy.
5. Tumor detection using deep learning.
6. Deep learning for image analysis using multimodality fusion.
7. Image quality recognition methods inspired by deep learning.
8. Advanced Deep Learning methods in computer vision with 3D data.
9. Deep Learning models to solve the task of MOT(Multiple Object Tracking).
10. Deep learning techniques for semantic segmentation of images.
11. Applications of deep learning for image forensics.
12. Human action recognition using deep learning.
13. Application of deep learning in satellite image classification and segmentation.