Crowdsourced Emphysema Assessment
| Autor: | Orting, SN, Cheplygina, Veronika, Thomsen, LH, Wille, MMW, de Bruijne, Marleen, M. Jorge Cardoso, Eric Granger, Luc Duong, Marc-André Carbonneau, Shadi Albarqouni, Gustavo Carneiro, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Guillaume Zahnd, Lena Maier-Hein, Stefanie Demirci |
|---|---|
| Přispěvatelé: | Radiology & Nuclear Medicine, Medical Image Analysis |
| Rok vydání: | 2017 |
| Předmět: |
Emphysema
Computer science business.industry Pulmonary disease Pattern recognition Crowdsourcing 030218 nuclear medicine & medical imaging Task (project management) 03 medical and health sciences ComputingMethodologies_PATTERNRECOGNITION 0302 clinical medicine Similarity (network science) 030220 oncology & carcinogenesis Similarity learning Embedding Labeled data Lower cost Artificial intelligence business |
| Zdroj: | Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis : 6th 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 (Lecture Notes in Computer Science, vol. 10552), 126-135 STARTPAGE=126;ENDPAGE=135;TITLE=Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis : 6th 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 (Lecture Notes in Computer Science, vol. 10552) Lecture Notes in Computer Science ISBN: 9783319675336 CVII-STENT/LABELS@MICCAI Intravascular 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: 6th 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, 126-135 STARTPAGE=126;ENDPAGE=135;TITLE=Intravascular 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 |
| DOI: | 10.1007/978-3-319-67534-3_14 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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