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Medical Image Journal: Journal of Medical Images

Medical Image Journal: Journal of Medical Images

Medical Image Journal: Journal of Medical Images publishes medical image articles, images in medical science, imaging in medical journal, imaging in medical science journal, images in clinical medicine journal, images in medical research, imaging in medical research, image case journal etc. Journal allows for the peer-reviewed communication and archiving of Clinical and Medical Research, as well as applications, focused on medical imaging, a field that continues to benefit from technological improvements and yield biomedical advancements in the early detection, diagnostics, and therapy of disease as well as in the understanding of normal conditions.

Manuscript Submission

Authors are requested to submit their manuscript by using Online Manuscript Submission Portal:

https://www.literaturepublishers.org/submit.html

(or) also invited to submit through the Journal E-mail Id: editor.cicrj@literaturepublishers.org

Medical Image Journal: Journal of Medical Images provides a forum for the dissemination of new research results in the field of Medical and Clinical Image Journal, with special emphasis on efforts related to the applications of computer vision, virtual reality and robotics to biomedical imaging problems. Medical Image Journal: Journal of Medical Images publishes the highest quality, original papers that contribute to the basic science of processing, analyzing and utilizing medical and biological images for these purposes. Medical Image Journal: Journal of Medical Images is interested in approaches that utilize biomedical image datasets at all spatial scales, ranging from molecular/cellular imaging to tissue/organ imaging. While not limited to these alone, the typical biomedical image datasets of interest include those acquired from.

The types of papers accepted include those that cover the development and implementation of algorithms and strategies based on the use of various models (geometrical, statistical, physical, functional, etc.) to solve the following types of problems, using biomedical image datasets: representation of pictorial data, visualization, feature extraction, segmentation, inter-study and inter-subject registration, longitudinal / temporal studies, image-guided surgery and intervention, texture, shape and motion measurements, spectral analysis, digital anatomical atlases, statistical shape analysis, computational anatomy (modelling normal anatomy and its variations), computational physiology (modelling organs and living systems for image analysis, simulation and training), virtual and augmented reality for therapy planning and guidance, telemedicine with medical images, telepresence in medicine, telesurgery and image-guided medical robots, etc.