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Search Results: cmim
Current Medical Imaging
ISSN: 1875-6603
- Cardiac Imaging
- Computed Tomography
- Computer-aided Diagnosis
- Machine Vision in Medicine
- Magnetic Resonance
- Medical Image Visualization
- Medical Imaging and Analysis
- Molecular Imaging
- Musculoskeletal Imaging
- Nuclear Medicine
- Pattern Recognition in Medical Images
- Pre-clinical Imaging
- Vascular and Interventional Radiology
- Women's and Pediatric Imaging
- X-ray and Abdominal Imaging
- Other related areas
Special Issues With Active Call for Papers
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, which ultimately improves patient care when paired with skilled clinicians. Creating a new quantum machine-learning algorithm tailored to biomedical data is difficult and urgent. There... see more
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, scattering of light during data acquisition processes, varied pixels, and various geometric and atmospheric distortions makes the data to be inherently complex and challenging to... see 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 a significant and profound impact on analysis and treatment of the human body, therapeutic decisions, and may ultimately improve the outcome for patients. Despite the... see more