FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation

Qiao Lin, Xin Chen, Chao Chen, Jonathan M. Garibaldi

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Convolutional neural networks (CNNs) have achieved the state-of-the-art performance in many application areas, due to the capability of automatically extracting and aggregating spatial and channel-wise features from images. Most recent studies have concentrated on modifying convolutional kernel size to achieve multi-scale spatial information. In this paper, we introduce a novel fuzzy integral module to the CNNs for fusing the information across feature channels. The fuzzy integral is a mathematical aggregation operator and is widely used in decision level fusion. Herein, we utilize a special case of fuzzy integrals namely ordered weight averaging (OWA) to merge information at feature level. Three publicly available datasets were used to evaluate the proposed fuzzy CNN model for image segmentation. The results show that the proposed fuzzy module helps in reducing the baseline model parameters by 58.54% while producing higher segmentation accuracy (measured by Dice) than the baseline method and a similar method reported in the literature.

Original languageEnglish
Title of host publicationIEEE CIS International Conference on Fuzzy Systems 2021, FUZZ 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-7
ISBN (Electronic)9781665444071
DOIs
Publication statusPublished - 11 Jul 2021
Event2021 IEEE CIS International Conference on Fuzzy Systems, FUZZ 2021 - Virtual, Online, Luxembourg
Duration: 11 Jul 202114 Jul 2021

Publication series

NameIEEE International Conference on Fuzzy Systems
Volume2021-July
ISSN (Print)1098-7584

Conference

Conference2021 IEEE CIS International Conference on Fuzzy Systems, FUZZ 2021
Country/TerritoryLuxembourg
CityVirtual, Online
Period11/07/2114/07/21

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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