Crowdsourced emphysema assessment

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Standard

Crowdsourced emphysema assessment. / Ørting, Silas Nyboe; Cheplygina, Veronika; Petersen, Jens; Thomsen, Laura H.; Wille, Mathilde M. W.; de Bruijne, Marleen.

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. red. / M. Jorge Cardoso; Tal Arbel; Su-Lin Lee; Veronika Cheplygina; Simone Balocco; Diana Mateus; Guillaume Zahnd; Lena Maier-Hein; Stefanie Dermirci; Eric Granger; Luc Duong; Marc-André Carbonneau; Shadi Albarquoni; Gustaco Carneiro. Springer, 2017. s. 126-135 (Lecture notes in computer science, Bind 10552).

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Ørting, SN, Cheplygina, V, Petersen, J, Thomsen, LH, Wille, MMW & de Bruijne, M 2017, Crowdsourced emphysema assessment. i MJ Cardoso, T Arbel, S-L Lee, V Cheplygina, S Balocco, D Mateus, G Zahnd, L Maier-Hein, S Dermirci, E Granger, L Duong, M-A Carbonneau, S Albarquoni & G Carneiro (red), 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. Springer, Lecture notes in computer science, bind 10552, s. 126-135, 2nd International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, Québec City, Canada, 10/09/2017. https://doi.org/10.1007/978-3-319-67534-3_14

APA

Ørting, S. N., Cheplygina, V., Petersen, J., Thomsen, L. H., Wille, M. M. W., & de Bruijne, M. (2017). Crowdsourced emphysema assessment. I M. J. Cardoso, T. Arbel, S-L. Lee, V. Cheplygina, S. Balocco, D. Mateus, G. Zahnd, L. Maier-Hein, S. Dermirci, E. Granger, L. Duong, M-A. Carbonneau, S. Albarquoni, ... G. Carneiro (red.), 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 (s. 126-135). Springer. Lecture notes in computer science, Bind. 10552 https://doi.org/10.1007/978-3-319-67534-3_14

Vancouver

Ørting SN, Cheplygina V, Petersen J, Thomsen LH, Wille MMW, de Bruijne M. Crowdsourced emphysema assessment. I Cardoso MJ, Arbel T, Lee S-L, Cheplygina V, Balocco S, Mateus D, Zahnd G, Maier-Hein L, Dermirci S, Granger E, Duong L, Carbonneau M-A, Albarquoni S, Carneiro G, red., 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. Springer. 2017. s. 126-135. (Lecture notes in computer science, Bind 10552). https://doi.org/10.1007/978-3-319-67534-3_14

Author

Ørting, Silas Nyboe ; Cheplygina, Veronika ; Petersen, Jens ; Thomsen, Laura H. ; Wille, Mathilde M. W. ; de Bruijne, Marleen. / Crowdsourced emphysema assessment. 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. red. / M. Jorge Cardoso ; Tal Arbel ; Su-Lin Lee ; Veronika Cheplygina ; Simone Balocco ; Diana Mateus ; Guillaume Zahnd ; Lena Maier-Hein ; Stefanie Dermirci ; Eric Granger ; Luc Duong ; Marc-André Carbonneau ; Shadi Albarquoni ; Gustaco Carneiro. Springer, 2017. s. 126-135 (Lecture notes in computer science, Bind 10552).

Bibtex

@inproceedings{4b5bba72f1c740cc98f89698e2f97341,
title = "Crowdsourced emphysema assessment",
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 F1 score of 0.58 for prediction of four patterns.",
keywords = "Crowdsourcing, Emphysema, Similarity learning",
author = "{\O}rting, {Silas Nyboe} and Veronika Cheplygina and Jens Petersen and Thomsen, {Laura H.} and Wille, {Mathilde M. W.} and {de Bruijne}, Marleen",
year = "2017",
doi = "10.1007/978-3-319-67534-3_14",
language = "English",
isbn = "978-3-319-67533-6",
series = "Lecture notes in computer science",
publisher = "Springer",
pages = "126--135",
editor = "Cardoso, {M. Jorge} and Tal Arbel and Su-Lin Lee and Veronika Cheplygina and Simone Balocco and Diana Mateus and Guillaume Zahnd and Lena Maier-Hein and Stefanie Dermirci and Eric Granger and Luc Duong and Marc-Andr{\'e} Carbonneau and Shadi Albarquoni and Gustaco Carneiro",
booktitle = "Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis",
note = "null ; Conference date: 10-09-2017 Through 14-09-2017",

}

RIS

TY - GEN

T1 - Crowdsourced emphysema assessment

AU - Ørting, Silas Nyboe

AU - Cheplygina, Veronika

AU - Petersen, Jens

AU - Thomsen, Laura H.

AU - Wille, Mathilde M. W.

AU - de Bruijne, Marleen

N1 - Conference code: 2

PY - 2017

Y1 - 2017

N2 - 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 F1 score of 0.58 for prediction of four patterns.

AB - 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 F1 score of 0.58 for prediction of four patterns.

KW - Crowdsourcing

KW - Emphysema

KW - Similarity learning

UR - http://www.scopus.com/inward/record.url?scp=85029803937&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-67534-3_14

DO - 10.1007/978-3-319-67534-3_14

M3 - Article in proceedings

AN - SCOPUS:85029803937

SN - 978-3-319-67533-6

T3 - Lecture notes in computer science

SP - 126

EP - 135

BT - Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis

A2 - Cardoso, M. Jorge

A2 - Arbel, Tal

A2 - Lee, Su-Lin

A2 - Cheplygina, Veronika

A2 - Balocco, Simone

A2 - Mateus, Diana

A2 - Zahnd, Guillaume

A2 - Maier-Hein, Lena

A2 - Dermirci, Stefanie

A2 - Granger, Eric

A2 - Duong, Luc

A2 - Carbonneau, Marc-André

A2 - Albarquoni, Shadi

A2 - Carneiro, Gustaco

PB - Springer

Y2 - 10 September 2017 through 14 September 2017

ER -

ID: 184144420