Presentation 2020-12-22
A Segmentation Algorithm Based on Capsule Network Using Attention Routing
Reo Sakairi, Qiu Chen,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In recent years, in order to detect cancer cells from X-ray images, researches on segmentation using deep learning technology have been actively carried out. As a representative method, a segmentation architecture SegCaps using the capsule network has been proposed, which improves the deficiencies of the convolutional neural network (CNN). In this paper, we propose a novel segmentation algorithm that applies attention routing proven to be effective in the recognition model to SegCaps to improve accuracy. The experimental results of comparing the accuracy of the output image and mask image with the Dice coefficient and Jaccard coefficient show that the changed SegCaps value is higher and the accuracy is improved
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Capsule Network / Segmentation / SegCaps / Attention Routing
Paper # HIP2020-57
Date of Issue 2020-12-15 (HIP)

Conference Information
Committee HIP
Conference Date 2020/12/22(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Shuichi Sakamoto(Tohoku Univ.)
Vice Chair Yuji Wada(Ritsumeikan Univ.) / Sachiko Kiyokawa(Nagoya Univ.)
Secretary Yuji Wada(NICT) / Sachiko Kiyokawa(NTT)
Assistant Hidetoshi Kanaya(Ritsumeikan Univ.) / Yuki Yamada(Kyushu Univ.)

Paper Information
Registration To Technical Committee on Human Information Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Segmentation Algorithm Based on Capsule Network Using Attention Routing
Sub Title (in English)
Keyword(1) Capsule Network
Keyword(2) Segmentation
Keyword(3) SegCaps
Keyword(4) Attention Routing
1st Author's Name Reo Sakairi
1st Author's Affiliation Kogakuin University(Kogakuin Univ.)
2nd Author's Name Qiu Chen
2nd Author's Affiliation Kogakuin University(Kogakuin Univ.)
Date 2020-12-22
Paper # HIP2020-57
Volume (vol) vol.120
Number (no) HIP-306
Page pp.pp.20-24(HIP),
#Pages 5
Date of Issue 2020-12-15 (HIP)