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Lung cancer is one of the most common cancers in men and women worldwide. Early diagnosis of lung cancer can significantly increase the chances of a patient’s survival, yet early detection has historically been difficult. As a result, there has been a great deal of progress in the development of accurate and fast diagnostic tools in recent years. Lung Cancer and Imaging provides an introduction to the methods currently used in lung cancer diagnosis and the promising new techniques that are emerging. Areas covered include the major trends and challenges in lung cancer detection and diagnosis, classification of cancer types, lung feature extraction in joint PET/CT images, and algorithms in the area of low dosage CT lung cancer images.
The authors would
like to thank the South African Research Chairs Initiative and National
Research Foundation of the Department of Science and Technology
(SARChI—NRF—DST) (grant number: 98337), the University of Johannesburg, and
the National Laser Centre (NLC) for their financial grant support.
The authors would like to thank the South
African Research Chairs Initiative and National Research Foundation of the
Department of Science and Technology (SARChI—NRF—DST) (grant number: 98337),
the University of Johannesburg, and the National Laser Centre (NLC) for their
financial grant support.
Preface
Acknowledgement
Dedication
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10. Exploiting Exhaled Aerosol Fingerprints to Detect Lung Cancers and Obstructive Respiratory Diseases Jinxiang Xi, Xiuhua April Si
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