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<pclass="w3-center w3-large">Software for automatic segmentation and generation of standardized clinical reports of brain tumors
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from preoperative magnetic resonance images (MRIs). Supported tumor types are: <i>glioblastomas</i>, <i>diffuse lower-grade gliomas</i>,
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<i>meningiomas</i>, and <i>metastases</i>.</p>
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from pre-operative magnetic resonance images (MRIs). The most common tumor types are supported: <i>glioblastomas</i>, <i>diffuse lower-grade gliomas</i>,
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<i>meningiomas</i>, and <i>metastases</i>. In addition, post-operative rest tumor segmentation of glioblastomas and
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surgical report computation (including extent-of-resection), is accessible. </p>
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<pclass="w3-center w3-large"> A description of the different use-cases supported by Raidionics, along with Youtube presentation videos,
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are available on our <ahref="https://github.com/dbouget/Raidionics/wiki"><strong>wiki</strong></a>.</p>
<p> The different tumor types are automatically segmented using our own trained models based on deep learning. The tumor was defined as gadolinium-enhancing tissue including non-enhancing enclosed necrosis or cysts.</p>
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<p> The different tumor types are automatically segmented using our own trained models based on deep learning.
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The tumor was defined as gadolinium-enhancing tissue including non-enhancing enclosed necrosis or cysts.</p>
<p> The standardized clinical report (RADS) generated automatically includes the following tumor characteristics, all computed in the MNI reference space: volume, multifocality, laterality, location w.r.t. cortical structures (MNI, Harvard-Oxford, and Schaefer atlases), and location w.r.t. subcortical structures (BCB atlas).</p>
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<p> The standardized clinical report (RADS) generated automatically includes the following tumor characteristics,
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all computed in the MNI reference space: volume, multifocality, laterality, location w.r.t. cortical structures
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(MNI, Harvard-Oxford, and Schaefer atlases), and location w.r.t. subcortical structures (BCB atlas). <br>
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The standardized surgical report includes an automatic extent-of-resection value.
<i><ahref="https://github.com/dbouget/Raidionics/releases/download/v1.1.0/Raidionics-1.1.0-win.exe">Download for <strong>Windows</strong></a></i>
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<i><ahref="https://github.com/dbouget/Raidionics/releases/download/v1.2.0-beta/Raidionics-1.2.0-beta-win.exe">Download for <strong>Windows</strong></a></i>
<i><ahref="https://github.com/dbouget/Raidionics/releases/download/v1.1.0/Raidionics-1.1.0-macOS.pkg">Download for <strong>MacOS</strong></a></i>
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<pclass="w3-large">macOS</p>
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<i><ahref="https://github.com/dbouget/Raidionics/releases/download/v1.2.0-beta/Raidionics-1.2.0-beta-macOS.pkg">Download for <strong>macOS</strong></a></i><br>
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<i><ahref="https://github.com/dbouget/Raidionics/releases/download/v1.2.0-beta/Raidionics-1.2.0-beta-macOS_arm.pkg">Download for <strong>macOS ARM (M1 chip)</strong></a></i>
<i><ahref="https://github.com/dbouget/Raidionics/releases/download/v1.1.0/Raidionics-1.1.0-ubuntu.deb">Download for <strong>Linux</strong></a></i>
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<i><ahref="https://github.com/dbouget/Raidionics/releases/download/v1.2.0-beta/Raidionics-1.2.0-beta-ubuntu.deb">Download for <strong>Linux</strong></a></i>
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</div>
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</div>
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<pclass="fa fa-warning w3-left w3-large" style="color:red;"> Disclaimer: Raidionics has problems running on some specific CPU (cf. <ahref="https://github.com/dbouget/Raidionics/wiki/Frequently-Asked-Questions-(FAQ)">FAQ</a>).</p>
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