The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Feb. 27, 2024
Filed:
Nov. 10, 2022
Pathai, Inc., Boston, MA (US);
Harsha Vardhan Pokkalla, Allston, MA (US);
Hunter L. Elliott, Boston, MA (US);
Dayong Wang, Wellesley, MA (US);
Benjamin P. Glass, Boston, MA (US);
Ilan N. Wapinski, Brookline, MA (US);
Jennifer K. Kerner, Brookline, MA (US);
Andrew H. Beck, Brookline, MA (US);
Aditya Khosla, Lexington, MA (US);
Sai Chowdary Gullapally, Boston, MA (US);
Ramprakash Srinivasan, Brookline, MA (US);
PathAI, Inc., Boston, MA (US);
Abstract
In some aspects, the described systems and methods provide for validating performance of a model trained on a plurality of annotated pathology images. A pathology image is accessed. Frames are generated using the pathology image. Each frame in the set includes a distinct portion of the pathology image. Reference annotations are received from one or more users. The reference annotations describe at least one of a plurality of tissue or cellular characteristic categories for one or more frames in the set. Each frame in the set is processed using the trained model to generate model predictions. The model predictions describe at least one of the tissue or cellular characteristic categories for the processed frame. Performance of the trained model is validated based on determining a degree of association between the reference annotations and the model predictions for each frame and/or across all frames in the set of frames.