Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Mak, Sze Mun"'
Autor:
Bashir U; 1 Cancer Imaging Department, School of Biomedical Engineering and Imaging Sciences, King's College London , London , UK., Kawa B; 2 Department of Radiology, Maidstone Hospital, Hermitage Lane , Maidstone , UK., Siddique M; 1 Cancer Imaging Department, School of Biomedical Engineering and Imaging Sciences, King's College London , London , UK., Mak SM; 3 Department of Radiology, Guy's Hospital, Great Maze Pond , London , UK., Nair A; 3 Department of Radiology, Guy's Hospital, Great Maze Pond , London , UK., Mclean E; 4 Department of Pathology, Guy's Hospital and St Thomas' NHS Foundation Trust, Westminster Bridge Rd, Lambeth , London , UK., Bille A; 5 Department of Thoracic Surgery, Guy's Hospital, Great Maze Pond , London , UK., Goh V; 3 Department of Radiology, Guy's Hospital, Great Maze Pond , London , UK., Cook G; 6 PET Imaging Centre and the Division of Imaging Sciences and Biomedical Engineering, King's College London, , UK.
Publikováno v:
The British journal of radiology [Br J Radiol] 2019 Jul; Vol. 92 (1099), pp. 20190159. Date of Electronic Publication: 2019 Jun 05.
Autor:
Bashir, Usman, Kawa, Bhavin, Siddique, Muhammad, Mak, Sze Mun, Nair, Arjun, Mclean, Emma, Bille, Andrea, Goh, Vicky, Cook, Gary
Publikováno v:
Bashir, U, Kawa, B, Siddique, M, Mak, S M, Nair, A, Mclean, E, Bille, A, Goh, V & Cook, G 2019, ' Non-invasive classification of non-small cell lung cancer : a comparison between random forest models utilising radiomic and semantic features ', British Journal of Radiology, vol. 92, no. 1099, 20190159, pp. 20190159 . https://doi.org/10.1259/bjr.20190159, https://doi.org/10.1259/bjr.20190159
The British Journal of Radiology
Bashir, U, Kawa, B, Siddique, M, Mak, S M, Nair, A, Mclean, E, Bille, A, Goh, V & Cook, G 2019, ' Non-invasive classification of non-small cell lung cancer : a comparison between random forest models utilising radiomic and semantic features ', British Journal of Radiology, vol. 92, no. 1099, 20190159, pp. 20190159 . https://doi.org/10.1259/bjr.20190159
The British Journal of Radiology
Bashir, U, Kawa, B, Siddique, M, Mak, S M, Nair, A, Mclean, E, Bille, A, Goh, V & Cook, G 2019, ' Non-invasive classification of non-small cell lung cancer : a comparison between random forest models utilising radiomic and semantic features ', British Journal of Radiology, vol. 92, no. 1099, 20190159, pp. 20190159 . https://doi.org/10.1259/bjr.20190159
OBJECTIVE: Non-invasive distinction between squamous cell carcinoma and adenocarcinoma subtypes of non-small-cell lung cancer (NSCLC) may be beneficial to patients unfit for invasive diagnostic procedures or when tissue is insufficient for diagnosis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::5153aacd6262bb14d3c356e794c85733
https://kclpure.kcl.ac.uk/en/publications/e6815a3f-da6b-4a53-b600-3b40f311dddb
https://kclpure.kcl.ac.uk/en/publications/e6815a3f-da6b-4a53-b600-3b40f311dddb