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About A Deep Learning Guide To MICCAI 2015 - v2
The document summarizes deep learning activities and research presented at MICCAI 2015, including tutorials, papers presented at the main conference, and workshops. Key topics discussed include using deep learning for medical image analysis tasks like segmentation and detection, developing deeper neural networks, improving initialization and data augmentation techniques, and formulating problems in an end-to-end joint learning framework. Future directions explored are recurrent neural networks for images and reinforcement learning approaches.
Detailed Information
| Author: | ['Prakash Singh'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 21 |
| Language: | English |
| Format: | |
| Price: | FREE |
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