Title

A deep learning method for chamber enlargement diagnosis

DGIST Authors

Keonwoo Noh ; Daehoon Kim ; Min-Soo Kim

Advisor

김대훈

Co-Advisor(s)

Min-Soo Kim

Issued Date

2021

Awarded Date

2021/02

Citation

Keonwoo Noh. (2021). A deep learning method for chamber enlargement diagnosis. doi: 10.22677/thesis.200000366283

Type

Thesis

Subject

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

Publisher

DGIST

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