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Novel Method to Group Pixels for Medical Imaging (UCLA Case No. 2022-290)
Summary: UCLA researchers in the Department of Radiological Sciences have developed a new computational pipeline for identifying lesions in MRI data. Background: Prostate cancer is one of the most common cancer types with 12.6% of men diagnosed within their lifetime. Prostate cancer ranks as the 2nd leading cause of cancer-related deaths in the...
Published: 7/31/2023   |   Inventor(s): Ashley Yeager
Keywords(s): AI algorithms, Algorithm, algorithmic cancer detection, Cancer, cancer detection, DICOM, multiparametric MRI (mpMRI), prostate cancer, Radiology, Software & Algorithms, Tumor, Tumor Marker
Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Digital Health