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<!doctype html>
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<title>RadxTools: novel informatics tools for tumor response assessment via imaging by radxtools</title>
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<h1>RadxTools: novel informatics tools for tumor response assessment via imaging</h1>
<p></p>
<p class="view"><a href="https://github.com/radxtools">View My GitHub Profile</a></p>
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<h2>
<a id="radxtools-is-a-new-image-informatics-toolkit-funded-through-the-nci-itcr-program-under-1u01ca248226-01" class="anchor" href="#radxtools-is-a-new-image-informatics-toolkit-funded-through-the-nci-itcr-program-under-1u01ca248226-01" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>RadxTools is a new image informatics toolkit funded through the NCI ITCR program, under 1U01CA248226-01.</h2>
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<a id="tools-released" class="anchor" href="#tools-released" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Tools released</h3>
<p><a href="https://github.com/radxtools/collageradiomics">CoLlAGe</a>: a new radiomics descriptor which captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.</p>
<p><a href="https://github.com/radxtools/topology-radiomics">Topology</a>: descriptors which capture subtle sharpness and curvature differences along the surface of diseased pathologies on imaging.</p>
<p><a href="https://github.com/radxtools/radpathfusion">RadPathFuse</a>: interactive workflow for landmark-based co-registration of radiographic imaging with digitized pathology images.</p>
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<h3>
<a id="events" class="anchor" href="#events" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Events</h3>
<p><a href="./miccaitutorial2020">Tutorial at MICCAI 2020</a><br/>
Treatment Response Assessment in Oncology: Clinical Challenges and Technical Advances | Oct 4, 2020</p>
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<a id="team" class="anchor" href="#team" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Team</h3>
<p>The PIs of the RadxTools project are <a href="https://www.bric-lab.com">Pallavi Tiwari</a> and <a href="https://engineering.case.edu/groups/inventlab/">Satish E. Viswanath</a>.
This U01 is a collaborative effort enabled by the <a href="http://ccipd.case.edu">Center for Computational Imaging and Personalized Diagnostics at Case Western Reserve University</a>.</p>
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<a id="contact" class="anchor" href="#contact" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Contact</h3>
<p>Please contact us at <a href="mailto:radxtools@case.edu">radxtools@case.edu</a> with comments, suggestions, or concerns.</p>
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