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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
Emerging Trends & Techniques in Medical Imaging using Machine Learning and Deep Learning Techniques
This special issue will aim to discuss different approaches, initiatives and applications in Medical Imaging fields (including Machine Intelligence, Mining Engineering, Modeling and Simulation, Computer, Communication, Networking and Information Engineering, Systems Engineering, Innovative Computing Systems, Adaptive Technologies for Sustainable Growth, and Theoretical and Applied Sciences). This collection should inspire various scholars to contribute research on intelligence principles and approaches in their respective research communities, while enriching the body of research on computational intelligence. see more
Multimodal Imaging Using Spectroscopic Techniques for Improved Surgical Guidance
The majority of patients with solid malignancies have surgical excision as their primary and most successful method of medical care. On the other hand, patients experience recurrence and subsequent recurrence. Their objective was to provide a simpler and more concise explanation of the obstacles faced by physicians and the ways in which vibrational spectroscopy has developed to address those needs that have the greatest potential for advancement in terms of tissue biopsy, surgical credit evaluation,... see 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, 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