Automatic Emphysema Detection using Weakly Labeled HRCT Lung Images

Autor: Peña, Isabel Pino, Cheplygina, Veronika, Paschaloudi, Sofia, Vuust, Morten, Carl, Jesper, Weinreich, Ulla Møller, Østergaard, Lasse Riis, de Bruijne, Marleen

A method for automatically quantifying emphysema regions using High-Resolution Computed Tomography (HRCT) scans of patients with chronic obstructive pulmonary disease (COPD) that does not require manually annotated scans for training is presented. HR

Externí odkaz: http://arxiv.org/abs/1706.02051

Correction: Automatic emphysema detection using weakly labeled HRCT lung images (PLoS ONE (2018) 13:10 (e0205397) DOI: 10.1371/journal.pone.0205397)

Autor: Pena, Isabel Pino, Cheplygina, Veronika, Paschaloudi, Sofia, Vuust, Morten, Carl, Jesper, Weinreich, Ulla Moller, Ostergaard, Lasse Riis, de Bruijne, Marleen

Publikováno v: PLoS ONE, 14(8):e0220873. Public Library of Science

The last six authors, Sofia Paschaloudi, Morten Vuust, Jesper Carl, Ulla Møller Weinreich, Lasse Riis Østergaard, and Marleen de Bruijne, should not have been attributed equal contribution to this work.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::42e05d78b030a39065fa7a5b46ec671e
https://research.tue.nl/nl/publications/a837354d-97e5-4168-a0c6-eb13e437a463

Cobb angel measurement without X-ray, a novel method

Autor: Simony, Ane, Hansen, Karen Højmark, Thomsen, Hanne, Andersen, Mikkel Meyer, Vuust, Morten

Publikováno v: Simony, A, Hansen, K H, Thomsen, H, Andersen, M M & Vuust, M 2016, ' Cobb angel measurement without X-ray, a novel method ', Scoliosis and Spinal Disorders, vol. 11, no. Suppl. 1, O10, pp. 5 . https://doi.org/10.1186/s13013-016-0077-8

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e34d82ad2f6027033b8cb46464620464
https://vbn.aau.dk/da/publications/bd32b5f5-bfe0-4dd5-900e-894edd515b32

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