Special Issue: Computational Physics and Imaging in Medicine
Guest Editor
Dr. James Chow
Department of Medical Physics, Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
Email: james.chow@rmp.uhn.ca
Manuscript Topics
With the recent advances of computing technologies such as artificial intelligence (AI), big data processing, virtual reality, cloud and high-performance computing, various medical physics and imaging models and techniques have been studied and found applications in medicine. For medical physics, these, not least, include Monte Carlo simulation in dosimetry in radiotherapy, AI-assisted treatment planning and quality control, AI-assisted chatbot for healthcare/education, and knowledge-based radiation treatment planning. For medical imaging, there are automated image segmentation for radiation oncology, imaging deformation in dose accumulation for radiotherapy and machine learning in image recognition for cancer therapy and diagnosis.
In this special issue, we are calling for original works of topical review, research article and scientific note on computational physics and imaging in medicine. Potential topics include computer simulation and modeling on medical physics with application in medicine. In addition, we welcome works on medical image processing and recognition based on various imaging modalities such as ultrasound, computer tomography, magnetic resonance imaging, positron emission tomography, single-photon emission computed tomography and so on. The aim of this special issue is to explore how recent development of computer technology can boost the advances of physics and imaging in medicine.
Instructions for authors
https://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/