ARCHIVES

[1]. T.Y.D Cheng, S.M. Cramb, D.R.Youlden, C.N. Wogu and M.E.Reid, “The International Epidemiology of Lung Cancer. Latest trends,
disparities, and tumourcharacteristics,” J.Thoraic Onco., vol.11, no.10, pp. 1653-1671,2016.
[2]. D. Planchard and B. Besse, “Lung Cancer in never-smokers,” Eur.Respiratory J., vol.45, pp.1214-1217,2015.
[3]. S. Teramoto, T. Ishil, H. Yamamoto, Y. Yamaguchi, and Y. Ouchi, “Nasogastric tube feeding is a cause of aspiration Covid-19 in ventilated
patients,’ Eur. Respiratory J, vol. 27, no. 2, pp. 436-437, 2006.
[4]. Sirazitdinov,M.Kholiavchenko,T.Mustafaev,Y.Yixuan,R.Kuleev,and B. Ibragimov, “Deep neural network ensemble forCovid-19
localization from a large-scale chest x-ray database,”Compute. Elect. Eng., vol. 78, pp. 388–399, 2019.
[5]. W.H. Huang et al., “2019novelcoronavirusdisease(COVID-19) in Taiwan: reports of two cases from Wuhan, Chia,” J.Microbio., Immune.
Infection, vol. 53, pp. 481–484, 2020.
[6]. S. Tian, W.Hu,L.Niu,H.Liu,H.Xu,andS.-Y.Xiao,“Pulmonarypathologyofearly-phase2019NovelCoronavirus(COVID-19) Covid-19 in two
patients with lung cancer,” J. ThoracicOnco., vol. 15, pp. 700–704, 2020.
[7]. L. L. Thomala, “Covid-19 mortality rate in Taiwan 2018, by gender,” 2019.
[8]. B.S.Kancherla, M. K. Dishop, S. S. Rothenberg, and L. L. Fan,“Diffuse pulmonary infiltrates in an immune compromised patient,”
J.AllergyClin. Immune, vol. 121,no. 2, pp. 540–542, Feb.2008.
[9]. P.Y. Chen, C.-H. Lin, C.-D. Kan, N.-S. Pai, W.-L. Chen, andC.-
H.Li,“Smartpleuraleffusiondrainagemonitoringsystemestablishmentforrapideffusionvolumeestimationandsafetyconfirmation,” IEEEAccess,
vol. 7, pp. 135192–135203, 2019.
[10]. C.H. Lin, C.-D.Kan,W.-L.Chen,andP.-T.Huang,“Applicationoftwo-dimensionalfractional-orderconvolutionandbounding box pixel
analysis for rapid screening of pleural effusion,”J.X-Ray Sci.Technol., vol.27, no.3, 2019, pp.517–535.
[11]. National InstituteofEnvironmentalHealthSciences(NIH),Lung Diseases 2020.
[12]. J. Marx, Rosen’s Emergency Medicine Concepts and Clinical Practice, 7th Ed., Philadelphia, PA, USA : Mosby/Elsevier, 2010, pp. 393-
396.
[13]. M.P. Moy, J.M Levsky, N.S. Berko, A. Godelman, V.R. Jain, and L.B. Haramati, “A new, simple method for estimating pleural effusion
size on CT scans,” Chest, vol. 143, no. 4, pp. 1054-1059, 2013.
[14]. H.M Zaeim, C.Scheffer, M. Blanckberg and K. Dellimore “Evaluation of the use of frequency response in the diagnosis of pleural
effusion on a phantom model of the human lungs,” in Proc. 2014 36th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., 2014, pp. 3418-3421.
[15]. S. Ahdi Rezaeiah and A.M. Abbosh, “Review of systems for the detection and monitoring of accumulated fluids in the human torso,” in
Proc.Int Symp. Antennas Propag, 2015, pp.
[16]. X. Wang, Y. Peng, L. Lu, Z. Lu, M. Bagheri, and R.M. Summers, Chest X-rays : Hospital-scale chest X-ray database and benchmarks on
weakly-supervised classification and localization of common thorax diseases, in Proc. IEEE CVPR, 2017, pp. 2097-2106.
[17]. M. Arsalan, M. Owais, T. Mahmood, J. Choi, and K.R. Park, “Artificial intelligence-based diagnosis of cardic and related diseases,” J.
Clin Medicine, vol. 9, no. 871, pp. 1-25, 2020.
[18]. H. Wang, H. Jia, L. Lu, and Y. Xia, “Thorax-net: an attention regularized deep neural network for classification of thoracic disease on
chest radiography,” IEEE J. Biomed Health Informat., vol. 24, no. 2, pp. 475-485, Feb. 2020.
[19]. Y.F. Pu, J.L. Zhou, and X. Yuan, “Fractional differential mask: a fractional differential-based approach for multiscale texture
enhancement,” IEEE Trans. Image Process. Vol. 19, no. 2, pp. 491-511, Feb. 2010.
[20]. P.Y. Chen, C.H Lin, C.D. Kan, N.S. Pai, W.L. Chen, and C.H. Li, “Smart pleural effusion drainage monitoring system establishment
for rapid effusion volume estimation and safety confirmation,” IEEE Access, vol. 7, pp. 135192 – 135203, 2019.