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filingDate 2020-12-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6693983d7c64147c6c24536bd686abbd
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publicationDate 2021-06-10-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber US-2021169349-A1
titleOfInvention Tumor characterization and outcome prediction through quantitative measurements of tumor-associated vasculature
abstract Embodiments discussed herein facilitate determination of a response to treatment and/or a prognosis for a tumor based at least in part on features of tumor-associated vasculature (TAV). One example embodiment is a method, comprising: accessing a medical imaging scan of a tumor, wherein the tumor is segmented on the medical imaging scan; segmenting tumor-associated vasculature (TAV) associated with the tumor based on the medical imaging scan; extracting one or more features from the TAV; providing the one or more features extracted from the TAV to a trained machine learning model; and receiving, from the machine learning model, one of a predicted response to a treatment for the tumor or a prognosis for the tumor.
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