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Number Cited Articles
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
Richard D. Pitcher. Radiology in Global Health2019; : 157 doi: 10.1007/978-3-319-98485-8_14
Luiz Carlos Corrêa da Silva, Alberto José de Araújo, Ângela Maria Dias de Queiroz, Maria da Penha Uchoa Sales, Maria Vera Cruz de Oliveira Castellano. Smoking control: challenges and achievementsJornal Brasileiro de Pneumologia 2016; 42(4): 290 doi: 10.1590/s1806-37562016000000145
Sarfaraz Hussein, Kunlin Cao, Qi Song, Ulas Bagci. Information Processing in Medical ImagingLecture Notes in Computer Science 2017; 10265: 249 doi: 10.1007/978-3-319-59050-9_20
Xuechen Li, Linlin Shen, Suhuai Luo. A Solitary Feature-Based Lung Nodule Detection Approach for Chest X-Ray RadiographsIEEE Journal of Biomedical and Health Informatics 2018; 22(2): 516 doi: 10.1109/JBHI.2017.2661805
Francesca M Trovato, Daniela Catalano, Guglielmo M Trovato. Thoracic ultrasound: An adjunctive and valuable imaging tool in emergency, resource-limited settings and for a sustainable monitoring of patientsWorld Journal of Radiology 2016; 8(9): 775-784 doi: 10.4329/wjr.v8.i9.775
Xuechen Li, Linlin Shen, Xinpeng Xie, Shiyun Huang, Zhien Xie, Xian Hong, Juan Yu. Multi-resolution convolutional networks for chest X-ray radiograph based lung nodule detectionArtificial Intelligence in Medicine 2020; 103: 101744 doi: 10.1016/j.artmed.2019.101744
H. De La Pena, A. Sharma, C. Glicksman, J. Joseph, M. Subesinghe, Z. Traill, C. Verrill, M. Sullivan, J. Redgwell, E. Bataillard, E. Pintus, N. Dallas, A. Gogbashian, M. Tuthill, A. Protheroe, M. Hall. No longer any role for routine follow-up chest x-rays in men with stage I germ cell cancerEuropean Journal of Cancer 2017; 84: 354 doi: 10.1016/j.ejca.2017.07.005
Yi Wang, Hao Zhang, Kum Ju Chae, Younhee Choi, Gong Yong Jin, Seok-Bum Ko. Novel convolutional neural network architecture for improved pulmonary nodule classification on computed tomographyMultidimensional Systems and Signal Processing 2020; 31(3): 1163 doi: 10.1007/s11045-020-00703-6
Julio Mendoza, Helio Pedrini. Detection and classification of lung nodules in chest X‐ray images using deep convolutional neural networksComputational Intelligence 2020; 36(2): 370 doi: 10.1111/coin.12241
Yongzhong Ouyang, Junwen Liu, Baohua Nie, Naiping Dong, Xin Chen, Linfei Chen, YiPing Wei. Differential diagnosis of human lung tumors using surface desorption atmospheric pressure chemical ionization imaging mass spectrometryRSC Advances 2017; 7(88): 56044 doi: 10.1039/C7RA11839B