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  2. Medical Image Analysis (journal) - Wikipedia

    en.wikipedia.org/wiki/Medical_Image_Analysis...

    Medical Image Analysis (MedIA) is a peer-reviewed academic journal which focuses on medical and biological image analysis.The journal publishes papers which contribute to the basic science of analyzing and processing biomedical images acquired through means such as magnetic resonance imaging, ultrasound, computed tomography, nuclear medicine, x-ray, optical and confocal microscopy, among others.

  3. Medical image computing - Wikipedia

    en.wikipedia.org/wiki/Medical_image_computing

    Medical image segmentation is made difficult by low contrast, noise, and other imaging ambiguities. Although there are many computer vision techniques for image segmentation, some have been adapted specifically for medical image computing. Below is a sampling of techniques within this field; the implementation relies on the expertise that ...

  4. Medical open network for AI - Wikipedia

    en.wikipedia.org/wiki/Medical_open_network_for_AI

    MONAI provides a robust suite of libraries, tools, and Software Development Kits (SDKs) that encompass the entire process of building medical imaging applications. It offers a comprehensive range of resources to support every stage of developing Artificial intelligence (AI) solutions in the field of medical imaging, from initial annotation (MONAI Label), [2] through models development and ...

  5. Electronic Letters on Computer Vision and Image Analysis

    en.wikipedia.org/wiki/Electronic_Letters_on...

    Electronic Letters on Computer Vision and Image Analysis (usually abbreviated ELCVIA) is a peer-reviewed open-access scientific journal focusing on computer vision and image analysis (subfields of artificial intelligence) as well as image processing (a subfield of signal processing). [1]

  6. Imaging informatics - Wikipedia

    en.wikipedia.org/wiki/Imaging_informatics

    One notable development is the integration of machine learning algorithms into imaging software, enabling automated analysis and interpretation of medical images. For instance, Rajpurkar et al. (2017) demonstrated the effectiveness of deep learning algorithms in pneumonia detection on chest X-rays, showcasing the potential of machine learning ...

  7. List of neuroimaging software - Wikipedia

    en.wikipedia.org/wiki/List_of_neuroimaging_software

    Neuroimaging software is used to study the structure and function of the brain. To see an NIH Blueprint for Neuroscience Research funded clearinghouse of many of these software applications, as well as hardware, etc. go to the NITRC web site. 3D Slicer Extensible, free open source multi-purpose software for visualization and analysis.