Invention Grant
- Patent Title: Deep-learning systems and methods for joint cell and region classification in biological images
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Application No.: US16891809Application Date: 2020-06-03
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Publication No.: US11682192B2Publication Date: 2023-06-20
- Inventor: Srinivas Chukka , Anindya Sarkar , Mohamed Amgad Tageldin
- Applicant: VENTANA MEDICAL SYSTEMS, INC.
- Applicant Address: US AZ Tucson
- Assignee: VENTANA MEDICAL SYSTEMS, INC.
- Current Assignee: VENTANA MEDICAL SYSTEMS, INC.
- Current Assignee Address: US AZ Tucson
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06T7/194
- IPC: G06T7/194 ; G06V10/82 ; G06V20/69 ; G06V10/774 ; G06T7/00 ; G06F18/2431

Abstract:
Automated systems and methods for training a multilayer neural network to classify cells and regions from a set of training images are presented. Automated systems and methods for using a trained multilayer neural network to classify cells within an unlabeled image are also presented.
Public/Granted literature
- US20200342597A1 DEEP-LEARNING SYSTEMS AND METHODS FOR JOINT CELL AND REGION CLASSIFICATION IN BIOLOGICAL IMAGES Public/Granted day:2020-10-29
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