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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
Deep Learning for Advanced Image Analysis in Health Informatics
The field of health informatics has endured a sharp increase in the use of image analysis due to the abundance of versatile data. This has also led to a rise in fascination with the development of computational models based on information and deep learning in the field of health informatics. With its roots in computerised neural networks, deep learning (DL) is a machine learning approach that has gained significant traction recently and holds the potential... see more
Generative Adversarial Networks (GANs) for Synthetic Medical Image Generation
The quantity of data for training medical image-based diagnostic and therapy models is growing as deep machine learning advances. Because of their superior picture-generating capabilities, generative adversarial networks (GANs) have garnered interest in the field of medical image processing and have found widespread use in data augmentation. Automated algorithms that create data simulations by learning from distributions of probability for real data are known as generative adversarial networks, or GANs. Generator and discriminator models are... see more
Machine Learning Algorithms for Early Detection of Cancer in Medical Imaging
Computers may learn from training data using machine learning (ML), a subset of artificial intelligence. ML has shown great predictive power for a number of cancers, including brain, liver, prostate, breast, and lung cancers. Indeed, studies have shown that AI and ML can predict cancer more accurately than doctors. Newly developed medical technologies that employ liquid biopsies to detect cancer early might provide an alternative to established cancer screening initiatives. These tests have the potential... see more
Emerging Biomedical Imaging Informatic for Smart Healthcare
Biomedical imaging informatics is a field that deals with the acquisition, processing, and interpretation of images in biomedicine using computational approaches. Biomedical imaging has progressed from early, simple X-rays for fracture diagnosis and foreign body identification to various techniques used to research biological structure and function and answer fundamental biomedical questions. New technologies for non-invasively interrogating whole 3-dimensional bodies have been developed via MRI (Magnetic Resonance Imaging), ultrasound, nuclear imaging, OI (Optical Imaging), CT (Computed... see more
Deep Learning Approaches for Image Enhancement in Medical Diagnostics
The medical and healthcare sectors are very different from one another. Consumers in these sectors need more affordable, superior offerings. Health or medical specialists are typically the ones who analyse medical data. In particular, medical imaging evaluation heavily relies on machine learning and deep learning. They not only yield outstanding outcomes in various practical applications, but they also demonstrate strong precision in the interpretation and diagnosis of medical images. The health care industry differs greatly... see more
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