A deep learning method for chamber enlargement diagnosis
- Title
- A deep learning method for chamber enlargement diagnosis
- Author(s)
- Keonwoo Noh
- DGIST Authors
- Keonwoo Noh ; Daehoon Kim ; Min-Soo Kim
- Advisor
- 김대훈
- Co-Advisor(s)
- Min-Soo Kim
- Issued Date
- 2021
- Awarded Date
- 2021/02
- Type
- Thesis
- Table Of Contents
-
Abstract
1. Introduction
1.1 Computer vision with deep neural networks
1.2 Diagnosis chamber enlargement diseases with deep learning
1.3 Applying proper Data augmentation policies
2. Deep neural network models and data augmentation techniques
2.1 Deep neural network models
2.2 Automatic searching of data augmentation policies
3. Experiments
4. Conclusion
- URI
-
http://dgist.dcollection.net/common/orgView/200000366283
http://hdl.handle.net/20.500.11750/16727
- Degree
- Master
- Department
- Information and Communication Engineering
- Publisher
- DGIST
- Related Researcher
-
-
Kim, Daehoon
- Research Interests Computer Architecture and Systems; Virtualization; Cloud Computing
-
- Files in This Item:
-
There are no files associated with this item.
- Appears in Collections:
- Department of Electrical Engineering and Computer Science Theses Master
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