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A deep learning method for chamber enlargement diagnosis

Title
A deep learning method for chamber enlargement diagnosis
Authors
Keonwoo Noh
DGIST Authors
Keonwoo Noh; Daehoon Kim; Min-Soo Kim
Advisor(s)
김대훈
Co-Advisor(s)
Min-Soo Kim
Issue Date
2021
Available Date
2022-07-07
Degree Date
2021/02
Type
Thesis
Keywords
Deep learning, Computer vision, medical AI, Data augmentation, AutoML, 딥러닝, 컴퓨터 비전, 의료 인공지능
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
DOI
10.22677/thesis.200000366283
Degree
Master
Department
Information and Communication Engineering
University
DGIST
Related Researcher
  • Author Kim, Daehoon Computer Architecture and Systems Lab
  • Research Interests Computer Architecture and Systems; Virtualization; Cloud Computing
Files:
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Collection:
Department of Electrical Engineering and Computer ScienceThesesMaster


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