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Cited by in CrossRef
Number Cited Articles
1
Xiaoling Gao, Lihua Guo, Jianqiang Li, Hnin Ei Thu, Zahid Hussain. Nanomedicines guided nanoimaging probes and nanotherapeutics for early detection of lung cancer and abolishing pulmonary metastasis: Critical appraisal of newer developments and challenges to clinical transitionJournal of Controlled Release 2018; 292: 29 doi: 10.1016/j.jconrel.2018.10.024
2
Min Jae Cha, Myung Jin Chung, Jeong Hyun Lee, Kyung Soo Lee. Performance of Deep Learning Model in Detecting Operable Lung Cancer With Chest RadiographsJournal of Thoracic Imaging 2019; 34(2): 86 doi: 10.1097/RTI.0000000000000388
3
A Latif, S Suryani, B Abdullah. Quantifying entrance skin dose for early diagnose of lung cancerJournal of Physics: Conference Series 2019; 1341: 082024 doi: 10.1088/1742-6596/1341/8/082024
4
Jong Hyuk Lee, Hye Young Sun, Sunggyun Park, Hyungjin Kim, Eui Jin Hwang, Jin Mo Goo, Chang Min Park. Performance of a Deep Learning Algorithm Compared with Radiologic Interpretation for Lung Cancer Detection on Chest Radiographs in a Health Screening PopulationRadiology 2020; 297(3): 687 doi: 10.1148/radiol.2020201240
5
Zahid Hussain. Nanotechnology-Based Targeted Drug Delivery Systems for Lung Cancer2019; : 269 doi: 10.1016/B978-0-12-815720-6.00011-3
6
M. Haber, A. Drake, J. Nightingale. Is there an advantage to using computer aided detection for the early detection of pulmonary nodules within chest X-Ray imaging?Radiography 2020; 26(3): e170 doi: 10.1016/j.radi.2020.01.002
7
Paolo Pertile, Albino Poli, Lorenzo Dominioni, Nicola Rotolo, Elisa Nardecchia, Massimo Castiglioni, Massimo Paolucci, William Mantovani, Andrea Imperatori. Is chest X-ray screening for lung cancer in smokers cost-effective? Evidence from a population-based study in ItalyCost Effectiveness and Resource Allocation 2015; 13(1) doi: 10.1186/s12962-015-0041-0