Journal Information
Medical Image Analysis
Impact Factor:

Call For Papers
Medical Image Analysis provides a forum for the dissemination of new research results in the field of medical and biological image analysis, with special emphasis on efforts related to the applications of computer vision, virtual reality and robotics to biomedical imaging problems. A bi-monthly journal, it publishes the highest quality, original papers that contribute to the basic science of processing, analysing and utilizing medical and biological images for these purposes. The journal 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:

    Magnetic resonance
    Computed tomography
    Nuclear medicine
    Optical and Confocal Microscopy
    Video and range data images

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.
Last updated by Dou Sun in 2019-11-24
Special Issues
Special Issue on Computational Pathology
Submission Date: 2019-12-30

This special issue on Computational Pathology in the journal for Medical Image Analysis (MeDIA)seeks to solicit papers in the areas of medical image analysis, artificial intelligence and machine learning as they relate to digital pathology. This seeks to showcase new ground breaking research that is both innovative and clinically relevant for digital pathology and precision medicine. The scope of the special issue includes, but is not limited to, the following topics: Artificial intelligence and Deep Learning for Computational Pathology Stain normalization/standardization Detection, classification and segmentation of tissue structures (cells, glands etc.) Detection and discovery of predictive and prognostic tissue biomarkers Whole-slide image analysis Registration of whole-slide images and cross-slide registration Immunohistochemistry scoring Multiplexed staining Unlabeled multiplexing Deep machine learning and image analysis algorithms, as applied to pathology images Detection and discovery of predictive and prognostic tissue biomarkers Multiplexed-stain image analysis Unlabeled multiplexing Histology image synthesis Crowdsourcing for ground truth collection in digital pathology Virtual staining Other related topics
Last updated by Dou Sun in 2019-09-14
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