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Ayaka Suzuki

Ernst & Young ShinNihon LLC

1-1-2, Yuraku-cho, Chiyoda-ku

Tokyo, 100-0011

Japan

SCHOLARLY PAPERS

1

DOWNLOADS

27

TOTAL CITATIONS

3

Scholarly Papers (1)

1.

Deep Learning Achieves Perfect Anomaly Detection on 108,308 Retinal Images Including Unlearned Diseases

Number of pages: 28 Posted: 07 May 2020
Ayaka Suzuki and Yoshiro Suzuki
Ernst & Young ShinNihon LLC and Tokyo Institute of Technology - Department of Mechanical Engineering
Downloads 27 (1,359,097)
Citation 3

Abstract:

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medical image processing, anomaly detection, Artificial intelligence, Retina, OCT, deep learning, Convolutional Neural Network, metric learning, Machine Learning