Crowdsourced emphysema assessment

S.N. Ørting, V. Cheplygina, J. Petersen, L.H. Thomsen, M.M.W. Wille, M. de Bruijne

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

2 Citations (Scopus)
135 Downloads (Pure)

Abstract

Classification of emphysema patterns is believed to be useful for improved diagnosis and prognosis of chronic obstructive pulmonary disease. Emphysema patterns can be assessed visually on lung CT scans. Visual assessment is a complex and time-consuming task performed by experts, making it unsuitable for obtaining large amounts of labeled data. We investigate if visual assessment of emphysema can be framed as an image similarity task that does not require expert. Substituting untrained annotators for experts makes it possible to label data sets much faster and at a lower cost. We use crowd annotators to gather similarity triplets and use t-distributed stochastic triplet embedding to learn an embedding. The quality of the embedding is evaluated by predicting expert assessed emphysema patterns. We find that although performance varies due to low quality triplets and randomness in the embedding, we still achieve a median F 1 score of 0.58 for prediction of four patterns.

Original languageEnglish
Title of host publicationIntravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 6th Joint International Workshops, CVII-STENT 2017 and 2nd International Workshop, LABELS 2017 Held in Conjunction with MICCAI 2017, Proceedings
Subtitle of host publication6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings
EditorsTal Arbel, M. Jorge Cardoso
Place of PublicationCham
PublisherSprnger Verlag
Pages126-135
Number of pages10
ISBN (Print)9783319675336
DOIs
Publication statusPublished - 2017
Event2nd International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, (LABELS 2017), 10-14 September 2017, Quebec City, Canada - Quebec City, Canada
Duration: 10 Sep 201714 Sep 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10552 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, (LABELS 2017), 10-14 September 2017, Quebec City, Canada
CountryCanada
CityQuebec City
Period10/09/1714/09/17
OtherHeld in Conjunction with 20th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2017

Keywords

  • Crowdsourcing
  • Emphysema
  • Similarity learning

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