Automated detection of fundic gland polyps from endoscopic images using SSD

Nagito Shichi, Arata Totsuka, Junichi Hasegawa, Tomoyuki Shibata

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

In stomach lesion screening, endoscopic images provide the most effective diagnostic information. However, in the most of lesions at the initial stage, the sign of existence is hard to appear on endoscopic images, and also there is the difference in operations of endoscopes and observation of images in real time among individual medical doctors. Therefore, development of a computer aided diagnostic system (CAD system) for endoscopic images is required. In this study, we propose a method for automated detection of fundic gland polyps from endoscopic images using an object detection algorithm named SSD (Single Shot MultiBox Detector) which is one of CNN (Convolutional Neural Network). SSD used here has 20 of convolution layers and 6 of pooling layers, and the input image size is 300x300. In the experiment, 73 practical fundic gland polyp images were used. To compensate for lack of training images, augmentation was performed using image rotation and edge enhancement. We trained 8751 training images and 2188 verification images. Also, as a preprocessing, highlight areas were removed automatically from all images including both training and test samples. As a result, 94.7% of TP (true positive) rate for 73 fundic gland polyp images was obtained by using our learned SSD.

本文言語English
ホスト出版物のタイトルInternational Workshop on Advanced Image Technology, IWAIT 2019
編集者Wen-Nung Lie, Phooi Yee Lau, Kazuya Hayase, Lu Yu, Yung-Lyul Lee, Sanun Srisuk, Qian Kemao
出版社SPIE
ISBN(電子版)9781510627734
DOI
出版ステータスPublished - 01-01-2019
イベントInternational Workshop on Advanced Image Technology 2019, IWAIT 2019 - Singapore, Singapore
継続期間: 06-01-201909-01-2019

出版物シリーズ

名前Proceedings of SPIE - The International Society for Optical Engineering
11049
ISSN(印刷版)0277-786X
ISSN(電子版)1996-756X

Conference

ConferenceInternational Workshop on Advanced Image Technology 2019, IWAIT 2019
国/地域Singapore
CitySingapore
Period06-01-1909-01-19

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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