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  2. Studierfenster - Wikipedia

    en.wikipedia.org/wiki/Studierfenster

    Studierfenster or StudierFenster (SF) [1] [2] [3] is a free, non-commercial open science client/server-based medical imaging processing online framework. It offers capabilities, like viewing medical data ( computed tomography (CT), magnetic resonance imaging (MRI), etc.) in two- and three-dimensional space directly in the standard web browsers ...

  3. Medical open network for AI - Wikipedia

    en.wikipedia.org/wiki/Medical_open_network_for_AI

    For instance, it has been utilized in academic research involving automatic cranio-facial implant design, [29] brain tumor analysis from Magnetic Resonance images, [30] identification of features in focal liver lesions from MRI scans, [31] radiotherapy planning for prostate cancer, [32] preparation of datasets for fluorescence microscopy ...

  4. Insight Segmentation and Registration Toolkit - Wikipedia

    en.wikipedia.org/wiki/Insight_Segmentation_and...

    For example, in the medical environment, a CT scan may be aligned with an MRI scan in order to combine the information contained in both. ITK was developed with funding from the National Library of Medicine as an open resource of algorithms for analyzing the images of the Visible Human Project. ITK stands for The Insight Segmentation and ...

  5. 3D Slicer - Wikipedia

    en.wikipedia.org/wiki/3D_Slicer

    In addition to producing 3D models from conventional MRI images, Slicer has also been used to present information derived from fMRI (using MRI to assess blood flow in the brain related to neural or spinal cord activity), [11] DTI (using MRI to measure the restricted diffusion of water in imaged tissue), [12] and electrocardiography. [13]

  6. Image registration - Wikipedia

    en.wikipedia.org/wiki/Image_registration

    Examples include registration of brain CT/MRI images or whole body PET/CT images for tumor localization, registration of contrast-enhanced CT images against non-contrast-enhanced CT images [15] for segmentation of specific parts of the anatomy, and registration of ultrasound and CT images for prostate localization in radiotherapy.

  7. 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 ...

  8. Fans Are Worried About Giada De Laurentiis: 'Someone ... - AOL

    www.aol.com/fans-worried-giada-laurentiis...

    Maybe she was going for shock value? Fans have flooded Giada De Laurentiis' latest TikTok video to express their concern after the former Food Network star shared a, well, surprising new recipe to ...

  9. MeVisLab - Wikipedia

    en.wikipedia.org/wiki/MeVisLab

    Image processing with the MeVis Image Processing Library (ML): The ML is a request-driven, page-based, modular, expandable C++ image processing library supporting up to six image dimensions (x, y, z, color, time, user dimensions). It offers a priority-controlled page cache and high performance for large data sets.