The first book, “Intelligent Diagnosis of Lung Cancer and Respiratory Diseases“, is dedicated to the diagnosis of diseases of the respiratory tract or those that seriously affect the respiratory system. The physiological foundations of the respiratory system and the formation of radiographic images and x-ray computed tomography are presented. Principles of respiratory diseases are also presented, including lung cancer, viral and bacterial pneumonia, tuberculosis, and Covid-19. In addition, the principles of pattern recognition and machine learning and the main theoretical and practical tools are also briefly presented. Software libraries are also commented. Additionally, this book presents innovative works and systematic reviews of intelligent applications in the diagnosis of lung cancer, tuberculosis, viral and bacterial pneumonias, and Covid-19.
This book is intended for academics, graduate and postgraduate students in Medicine, Biomedicine, Biomedical Engineering, Computer Science, and whom are interested in Biomedical Computing and breast cancer diagnosis applications.
About the Editor:
Wellington Pinheiro dos Santos received a bachelor’s degree in Electrical Electronics Engineering (2001), and a Master’s in Electrical Engineering (2003) from the Federal University of Pernambuco, and a Ph.D. in Electrical Engineering from the Federal University of Campina Grande (2009). He is currently a professor at the Department of Biomedical Engineering, Federal University of Pernambuco. His research interests include digital image processing, pattern recognition, computer vision, evolutionary computation, numerical methods of optimization, computational intelligence, computer graphics, virtual reality, game design, and applications of computing and engineering in medicine and biology. He is a member of the Brazilian Society of Biomedical Engineering (SBEB), the Brazilian Society of Computational Intelligence, and the International Federation of Medical and Biological Engineering (IFMBE).
Juliana Carneiro Gomes is a biomedical engineer from the Federal University of Pernambuco (UFPE-2016) with a sandwich period at the Sciences without Borders program (CAPES) in the United States, where she attended one academic year at Mercer University and worked as a researcher at the Advanced Imaging Algorithms and Instrumentation Laboratory (AIAI Lab da Johns Hopkins University School of Medicine), which provided experience in the area of computed tomography (CT) image processing. She holds a Master’s degree in Biomedical Engineering from UFPE (2019), focused on electrical impedance tomography (EIT) and image reconstruction with artificial neural networks. She is a PhD in Computer Engineering at the University of Pernambuco (UPE) and a member of the UFPE’s Biomedical Computing Research Group, with a focus on applied neurosciences research. She is currently a substitute professor at the Department of Physics at UFPE and student representative at the National Commission for the Evaluation of Higher Education (CONAES).
Maíra Araújo de Santana is a Ph.D. student in Computer Engineering at the University of Pernambuco (UPE). She holds a bachelor’s and master’s degree in biomedical engineering from the Federal University of Pernambuco (UFPE). She is a member of the Biomedical Computing Research Group (UFPE). Her research interests include affective computing, pattern recognition for the early diagnosis of breast cancer, and applied neurosciences. She was part of the Program Science Without Borders, supported by the Brazilian Federal Government, CAPES, and the Institute of International Education in the United States of America, where she attended an academic year at the University of Alabama at Birmingham (UAB), AL, and was a researcher at Carl E. Ravin Advanced Imaging Laboratories (RAI Labs) at Duke University, NC, working in the area of medical image processing.
Valter Augusto de Freitas Barbosa holds a Ph.D. in Mechanical Engineering (2022), a Master’s in Biomedical Engineering (2017), and a bachelor’s degree in Biomedical Engineering (2014) from the Federal University of Pernambuco, with a sandwich period at the Université de Technologie de Compiègne’s BRAFITEC Program (CAPES) (France). He is currently a professor at the Serra Talhada Academic Unit, Federal Rural University of Pernambuco, working with Applied Mathematics. He is a member of the Biomedical Computing Research Group, UFPE, focusing on pattern detection, artificial intelligence, and deep neural networks.
Keywords:
Radiology, Forecasting, Medical imaging, Disease prediction, Biomedical imaging, e-health, Respiratory diseases, m-health, Image diagnosis, Telemedicine, Tuberculosis, Image reconstruction, Covid-19, Electrical impedance tomography, Diseases of the respiratory system, Lung cancer image diagnosis, Artificial intelligence, Lung tumour detection, Machine learning, Deep learning
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