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. https://doi.org/10.1007/978-3-319-67534-3_14
Crowdsourced emphysema assessment. /
Ørting, Silas Nyboe; Cheplygina, Veronika
; Petersen, Jens et al.
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/rapport › Konferencebidrag i proceedings › Forskning › peer review
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
Ørting SN, Cheplygina V, Petersen J, Thomsen LH, Wille MMW, de Bruijne M. Crowdsourced emphysema assessment. I Cardoso MJ, Arbel T, Lee SL, Cheplygina V, Balocco S, Mateus D, Zahnd G, Maier-Hein L, Dermirci S, Granger E, Duong L, Carbonneau MA, 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). doi: 10.1007/978-3-319-67534-3_14
Ørting, Silas Nyboe ; Cheplygina, Veronika ; Petersen, Jens et al. / 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).
@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 = "2nd International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis ; Conference date: 10-09-2017 Through 14-09-2017",
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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
T2 - 2nd International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis
Y2 - 10 September 2017 through 14 September 2017
ER -
