Methods of Information in Medicine, Table of Contents Methods Inf Med 2018; 57(05/06): 270-271DOI: 10.1055/s-0038-1675802 Focus Theme “Computational intelligence” – Editorial Georg Thieme Verlag KG Stuttgart · New York Computational Intelligence Re-meets Medical Image Processing Hariton N. Costin 1 Institute of Computer Science of Romanian Academy, Grigore T. Popa University of Medicine and Pharmacy, Iasi Branch, Iasi, Romania , Thomas M. Deserno 2 Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Germany › Author Affiliations Recommend Article Abstract Buy Article Previous part of this series: Analysis of Machine Learning Algorithms for Diagnosis of Diffuse Lung Diseases Methods Inf Med 2018; 57(05/06): e4-e4DOI: 10.3414/ME17-02-0023 Next part of this series: Analysis of Machine Learning Algorithms for Diagnosis of Diffuse Lung DiseasesMethods Inf Med 2018; 57(05/06): 272-279DOI: 10.1055/s-0039-1681086 Full Text References References 1 Ramos HS, Cardoso I, Almeida E, Allende-Cid H, Frery A, Rangayyan RM, Azevedo-Marques P. Analysis of Machine Learning Algorithms for Diagnosis of Diffuse Lung Diseases. Methods Inf Med 2 Raghu G, Chen SY, Yeh WS. , et al. Idiopathic pulmonary fibrosis in US Medicare beneficiaries aged 65 years and older: incidence, prevalence, and survival, 2001-11. Lancet Respir Med 2014; 2 (07) 566-572 3 Rangayyan RM. Biomedical Image Analysis. Boca Raton: CRC Press; 2004 4 Almeida E, Rangayyan R, Azevedo-Marques P. Gaussian mixture modeling for statistical analysis of features of high-resolution CT images of diffuse pulmonary diseases. 2015 IEEE International Symposium on Medical Measurements and Applications, 1–5; 2015 5 Zaki MJ, Meira Jr. W. Data Mining and Analysis: Fundamental Concepts and Algorithms. New York, NY: Cambridge University Press; 2014 6 Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition. CoRR, abs/1409.1556; 2014 7 Bejinariu S, Costin H. A Comparison of Some Nature Inspired Optimization Metaheuristics Applied in Biomedical Image Registration. Methods Inf Med 8 Yang XS. Nature-Inspired Metaheuristic Algorithms, 2nd ed. University of Cambridge, UK: Luniver Press; ; 2010 9 Yang XS. Mathematical analysis of nature-inspired algorithms. In: Yang XS, ed. Nature-Inspired Algorithms and Applied Optimization. Cham, Switzerland: Springer; 2018: 1-25 10 Yang XS. Nature-Inspired Optimization Algorithms. Amsterdam, The Netherlands: Elsevier Science Publishers B. V.; 2014 11 Kennedy J, Eberhart R. Particle swarm optimization. In: Proceedings of the IEEE International Conference on Neural Networks, IV; 1995 :1942–1948 12 Hendtlass T. WoSP: A Multi-Optima Particle Swarm Algorithm. In: Proceedings of the IEEE Congress on Evolutionary Computation; 2005 :727–734 13 Zitova B, Flusser F. Image registration methods: a survey. In: Frahm J-M, Pantic M, Todorovic S, eds.. Image and Vision Computing, Vol. 21(11). Amsterdam, The Netherlands: Elsevier B.V.; 2003: 977-1000 14 Available at: http://www.osirix-viewer.com/resources/dicom-image-library/ . Accessed October 22, 2018
