Method for Improved Diagnosis of Neoplastic Lesions by Integrating Expansion Pathology (ExPath) with Advanced Computational Image Analysis

Non-Exclusively Licensed

A method for diagnosing cancer in an expanded biological tissue sample of a patient comprising providing at least one sample image of the expanded biological tissue sample; providing a computer configured to analyze the sample; analyzing, with the computer, the sample detect and segment nuclei; calculating, with the computer, molecular characteristics of those nuclei; and determining, with the computer, a diagnosis of cancer of the sample by comparing the sample with a benign normal tissue reference.

Researchers

Edward Stuart Boyden / Humayun Irshad / Octavian Bucur / Andrew Beck / Yongxin Zhao

Departments: Department of Brain and Cognitive Sciences
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Computer Science: Bioinformatics / Diagnostics: Assays / Sensing & Imaging: Imaging

  • methods for diagnosing neoplastic lesions
    United States of America | Granted | 12,061,199

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