Lung cancer histology classification from CT images based on radiomics and deep learning models

Author:

Marentakis Panagiotis,Karaiskos Pantelis,Kouloulias Vassilis,Kelekis Nikolaos,Argentos Stylianos,Oikonomopoulos Nikolaos,Loukas ConstantinosORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Reference34 articles.

1. Travis WD, Brambilla E, Nicholson AG, Yatabe Y, Austin JHM, Beasley MB, Chirieac LR, Dacic S, Duhig E, Flieder DB, Geisinger K, Hirsch FR, Ishikawa Y, Kerr KM, Noguchi M, Pelosi G, Powell CA, Tsao MS, Wistuba I, WHO Panel (2015) The 2015 World Health Organization Classification of Lung Tumors: Impact of Genetic, Clinical and Radiologic Advances Since the 2004 Classification. J Thorac Oncol 10:1243–1260. https://doi.org/10.1097/JTO.0000000000000630

2. Zhang L, Wang L, Du B, Wang T, Tian P, Tian S (2016) Classification of non-small cell lung cancer using significance analysis of microarray-gene set reduction algorithm. Biomed Res Int 2016:2491671. https://doi.org/10.1155/2016/2491671

3. Kawase A, Yoshida J, Ishii G, Nakao M, Aokage K, Hishida T, Nishimura M, Nagai K (2012) Differences between squamous cell carcinoma and adenocarcinoma of the lung: are adenocarcinoma and squamous cell carcinoma prognostically equal? Jpn J Clin Oncol 42:189–195. https://doi.org/10.1093/jjco/hyr188

4. Pankratz VS, Sun Z, Aakre J, Li Y, Johnson C, Garces YI, Aubry MC, Molina JR, Wigle DA, Yang P (2011) Systematic evaluation of genetic variants in three biological pathways on patient survival in low-stage non-small cell lung cancer. J Thorac Oncol 6:1488–1495. https://doi.org/10.1097/JTO.0B013E318223BF05

5. Wiener RS, Schwartz LM, Woloshin S, Welch HG (2011) Population-based risk for complications after transthoracic needle lung biopsy of a pulmonary nodule: an analysis of discharge records. Ann Intern Med 155:137. https://doi.org/10.7326/0003-4819-155-3-201108020-00003

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