Computational analysis of rectal tumor pathology features to determine response to chemoradiation
AssigneesCase Western Reserve University, University Hospitals Cleveland Medical Center, The United States Government AS Represented By the Department of Veteran Affairs
InventorsCharlems Alvarez Jimenez, Satish E. Viswanath, Joseph E. Willis, Sofiya Vyshnya
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Abstract
Systems, methods, and circuitries are provided for generating a tumor regression grade for a patient. In one example, a method includes extract a cell-related feature for an individual cell represented in image data corresponding to a rectal tumor in a patient; extracting a tissue-related feature for tissue represented in the image data; and determining a tumor regression grade for a patient based on the cell-related feature and the tissue-related feature.
Claims20
An apparatus, comprising:
- a memory device configured to store image data, wherein the image data comprises digitized images of one or more rectal tissue samples from a patient;
- cell-related feature extraction circuitry configured to extract a cell-related feature for an individual cell represented in the image data;
- tissue-related feature extraction circuitry configured to extract a tissue-related feature for tissue represented in the image data;
- and
- signature model circuitry configured to determine a tumor regression grade for the patient based on the cell-related feature and the tissue-related feature.
A method, comprising:
- extracting a cell-related feature for an individual cell represented in image data corresponding to a rectal tumor in a patient;
- extracting a tissue-related feature for tissue represented in the image data;
- and
- determining a tumor regression grade for a patient based on the cell-related feature and the tissue-related feature.
Non-transitory computer-readable medium having instructions stored thereon that, when executed by a processor, cause the processor to perform operations, the operations comprising:
- extracting a cell-related feature for an individual cell represented in image data corresponding to a rectal tumor in a patient;
- extracting a tissue-related feature for tissue represented in the image data;
- and
- determining a tumor regression grade for a patient based on the cell-related feature and the tissue-related feature.
Dependencies are inferred from the claim text.