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Image classification using deep learning algorithm for thyroid imaging
- Authors
- Kim, K.G.
- Issue Date
- May-2018
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- CNN; computer aided diagnosis; Deep Learning; Thyroid imaging; Ultrasonography
- Citation
- 2018 International Workshop on Advanced Image Technology, IWAIT 2018
- Journal Title
- 2018 International Workshop on Advanced Image Technology, IWAIT 2018
- ISSN
- 0000-0000
- Abstract
- We conduct image differentiation between benignancy and malignancy for ultrasonography image of thyroid, and also classification of false positive reduction from true positive mass of mammogram images, via convolutional neural networks. For thyroid images we have differentiation accuracy over 76%. For mammogram image classification, we obtained over 80% of accuracy for test datasets. We present the numerical result and corresponding convolutional neural network(CNN) architectures. © 2018 IEEE.
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Related Researcher
- Kim, Kwang Gi
- College of IT Convergence (의공학과)