Abstract
Combined positron emission tomography (PET) or single photon emission computed tomography (SPECT) with computed tomography (CT) has been rapidly developed because of unique physiological information benefits from a precise topographic localization. PET/CT has been more accurate that anatomical imaging for diagnosing, staging, restaging and assessing therapeutic responses in a large number of different cancers. SPECT/CT has been somewhat overlooked since the procedures with single-photon tracers still constitute the majority of everyday nuclear medicine practice. Besides of precise localization of the lesions CT findings also characterize the abnormalities. Many existing and potential areas of clinical applications as well as translational researches using PET/CT and SPECT/CT are briefly reviewed.
Call for Papers in Thematic Issues
Intelligent Information Retrieval for Multispectral and Hyperspectral Imaging
Multispectral and hyperspectral imaging is an interdisciplinary research area, widely focuses on spectral, spatial, and temporal data. It offers a plethora of opportunities to efficiently analyze the vast area of the earth's surface. However, there are numerous factors such as dimensionality and size of the hyperspectral data, lesser training samples, ...read more
Machine and Deep Learning in Medical Image Diagnosis
Medical Image Processing regards a set of methodologies that have been developed over recent years with the purpose of improving medical image quality, improving medical data visualization, understanding, and assisting medical diagnosis, and so on. The application of machine and deep learning methods in sensing and imaging can potentially have ...read more
Quantum Machine Learning for Medical Data and Imaging
Quantum computing has promised a significant speedup in certain computationally intensive tasks that are intractable on classical computers. Researchers in quantum machine learning, such as those working in computer vision, image processing, biomedical analysis, and related topics, may play an important role in comprehending and working on complicated medical data, ...read more
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