Automated detection of fundic gland polyps and hyperplastic polyps from endoscopic images using SSD

Koki Oshio, Nagito Shichi, Junichi Hasegawa, Tomoyuki Shibata

研究成果: Conference contribution

抄録

In recent years, for reducing diagnostic burdens in stomach screening, a computer aided diagnostic system (CAD system) for endoscopic stomach images is required. In our previous study, an automated polyp detection method from endoscopic images using the SSD (Single Shot MultiBox Detector) has been developed with 93.7% of detection rate. However, the detection target of this method has been limited only to fundic gland polyp. In this paper, we propose a method for automated detection and classification of two different types of polyp; fundic gland polyp (FGP) and hyperplastic polyp (HP) from endoscopic images using the SSD. In the experiment, 71 and 96 practical endoscopic images of FGP and HP were used. For training of SSD, 11210 and 5053 training images of FGP and HP were generated by data augmentation, respectively, and 20% of training images were automatically selected and used as verification images. As a result for test samples including 132 polyps (69 FGPs and 63 HPs), the detection rate for entire polyps was 96.2% (127/132), and the classification rate for two types of polyp was 88.6% (117/132). The number of false positive was only one all through the experiment.

本文言語English
ホスト出版物のタイトルInternational Workshop on Advanced Imaging Technology, IWAIT 2020
編集者Phooi Yee Lau, Mohammad Shobri
出版社SPIE
ISBN(電子版)9781510638358
DOI
出版ステータスPublished - 2020
外部発表はい
イベントInternational Workshop on Advanced Imaging Technology, IWAIT 2020 - Yogyakarta, Indonesia
継続期間: 05-01-202007-01-2020

出版物シリーズ

名前Proceedings of SPIE - The International Society for Optical Engineering
11515
ISSN(印刷版)0277-786X
ISSN(電子版)1996-756X

Conference

ConferenceInternational Workshop on Advanced Imaging Technology, IWAIT 2020
国/地域Indonesia
CityYogyakarta
Period05-01-2007-01-20

All Science Journal Classification (ASJC) codes

  • 電子材料、光学材料、および磁性材料
  • 凝縮系物理学
  • コンピュータ サイエンスの応用
  • 応用数学
  • 電子工学および電気工学

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