Deep learning biopsy marking of early neoplasia in barrett's esophagus by combining wle and BLI modalities

Joost van der Putten, Rogier Wildeboer, Jeroen de Groof, Ruud van Sloun, Maarten Struyvenberg, Fons van der Sommen, Svitlana Zinger, Wouter Curvers, Erik Schoon, Jacques Bergman, Peter H.N. de With

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

Abstract

Esophageal cancer is the fastest rising type of cancer in the western world. Also, early neoplasia in Barrett's esophagus (BE) is difficult to detect for endoscopists and research has shown it is similarly complicated for Computer-Aided Detection (CAD) algorithms. For these reasons, further development of CAD algorithms for BE is essential for the wellbeing of patients. In this work we propose a patch-based deep learning algorithm for early neoplasia in BE, utilizing state-of-the-art deep learning techniques on a new prospective data set. The new algorithm yields not only a high detection score but also identifies the ideal biopsy location for the first time. We define specific novel metrics such as sweet-spot flag and softspot flag, to obtain well-defined computation of the biopsy location. Furthermore, we show that combining white light and blue laser imaging improves localization results by 8%.

Original languageEnglish
Title of host publicationISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging
Place of PublicationPiscataway
PublisherIEEE Computer Society
Pages1127-1131
Number of pages5
ISBN (Electronic)978-1-5386-3641-1
DOIs
Publication statusPublished - 1 Apr 2019
Event16th IEEE International Symposium on Biomedical Imaging, ISBI 2019 - Venice, Italy
Duration: 8 Apr 201911 Apr 2019

Conference

Conference16th IEEE International Symposium on Biomedical Imaging, ISBI 2019
Abbreviated titleISBI 2019
CountryItaly
CityVenice
Period8/04/1911/04/19

Keywords

  • Barrett's esophagus
  • Biopsy localization
  • Blue laser imaging
  • Deep learning
  • White light endoscopy

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