Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans

Autor: Ørting, Silas Nyboe, Petersen, Jens, Cheplygina, Veronika, Thomsen, Laura H., Wille, Mathilde M W, de Bruijne, Marleen

Supervised feature learning using convolutional neural networks (CNNs) can provide concise and disease relevant representations of medical images. However, training CNNs requires annotated image data. Annotating medical images can be a time-consuming

Externí odkaz: http://arxiv.org/abs/1806.07131

Increased respiratory morbidity in individuals with interstitial lung abnormalities

Autor: Hoyer, Nils, Thomsen, Laura H, Wille, Mathilde M W, Wilcke, Torgny, Dirksen, Asger, Pedersen, Jesper H, Saghir, Zaigham, Ashraf, Haseem, Shaker, Saher B

Publikováno v: BMC Pulmonary Medicine. 2020 Mar 19;20(1):67

Externí odkaz: http://hdl.handle.net/10852/74180
https://www.duo.uio.no/bitstream/handle/10852/74180/1/12890_2020_Article_1107.pdf

Feature learning based on visual similarity triplets in medical image analysis

Autor: Nyboe Ørting, Silas, Petersen, Jens, Cheplygina, Veronika, Thomsen, Laura H., Wille, Mathilde M.W., de Bruijne, Marleen, Lee, Su-Lin, Trucco, Emanuele, Maier-Hein, Lena, Moriconi, Stefano, Albarqouni, Shadi, Jannin, Pierre, Balocco, Simone, Zahnd, Guillaume, Mateus, Diana, Taylor, Zeike, Demirci, Stefanie, Stoyanov, Danail, Sznitman, Raphael, Martel, Anne, Granger, Eric, Duong, Luc

Publikováno v: Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis ISBN: 9783030013639
CVII-STENT/LABELS@MICCAI
Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis-7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018 Held in Conjunction with MICCAI 2018, 140-149
STARTPAGE=140;ENDPAGE=149;TITLE=Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis-7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018 Held in Conjunction with MICCAI 2018

Supervised feature learning using convolutional neural networks (CNNs) can provide concise and disease relevant representations of medical images. However, training CNNs requires annotated image data. Annotating medical images can be a time-consuming

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a64d4b949965358179421cf223c2600
http://www.scopus.com/inward/record.url?scp=85055765315&partnerID=8YFLogxK

Analysis of FEV1 Decline in Relatively Healthy Heavy Smokers: Implications of Expressing Changes in FEV1 in Relative Terms.

Autor: Thomsen, Laura H.¹ (AUTHOR) laurahohwu@gmail.com, Dirksen, Asger¹ (AUTHOR), Shaker, Saher B.¹ (AUTHOR), Skovgaard, Lene T.² (AUTHOR), Dahlbäck, Magnus³ (AUTHOR), Pedersen, Jesper H.⁴ (AUTHOR)

Publikováno v: COPD: Journal of Chronic Obstructive Pulmonary Disease. Feb2014, Vol. 11 Issue 1, p96-104. 9p.

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