Notice of Removal: Automatic classification of neoplastic lesion on gastric biopsy images

Emi Morotomi, Toshiyuki Tanaka

研究成果: Conference contribution

抄録

In histopathological diagnosis, pathologists observe the biopsy images and diagnose the tumor grade. However, the number of pathologists has been decreasing, so the demand for cancer diagnosis support system has been increasing in recent years. Therefore, this study proposes the method for automatic classification to two classes which are neoplastic lesion, and non-neoplastic lesion. Our method consists of image inputting, region extraction, feature calculation, and discriminant analysis. As the result, our method showed 93.33% accuracy on the neoplastic lesion, and 82.86% accuracy on the non-neoplastic lesion.

本文言語English
ホスト出版物のタイトル2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015
出版社Institute of Electrical and Electronics Engineers Inc.
ページ60-63
ページ数4
ISBN(電子版)9784907764487
DOI
出版ステータスPublished - 2015 9月 30
イベント54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 - Hangzhou, China
継続期間: 2015 7月 282015 7月 30

出版物シリーズ

名前2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015

Other

Other54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015
国/地域China
CityHangzhou
Period15/7/2815/7/30

ASJC Scopus subject areas

  • 制御およびシステム工学

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