Invention Grant
- Patent Title: Multi-scale tumor cell detection and classification
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Application No.: US17380207Application Date: 2021-07-20
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Publication No.: US12198331B2Publication Date: 2025-01-14
- Inventor: Eric Cosatto , Kyle Gerard
- Applicant: NEC Laboratories America, Inc.
- Applicant Address: US NJ Princeton
- Assignee: NEC Laboratories America, Inc.
- Current Assignee: NEC Laboratories America, Inc.
- Current Assignee Address: US NJ Princeton
- Agent Joseph Kolodka
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06F18/214 ; G06F18/2415 ; G06T7/149 ; G06V10/25

Abstract:
Methods and systems for training a machine learning model include generating pairs of training pixel patches from a dataset of training images, each pair including a first patch representing a part of a respective training image, and a second patch, centered at the same location as the first, representing a larger part of the training image, being resized to a same size of as the first patch. A detection model is trained using the first pixel patches, to detect and locate cells in the images. A classification model is trained using the first pixel patches, to classify cells according to whether the detected cells are cancerous, based on cell location information generated by the detection model. A segmentation model is trained using the second pixel patches, to locate and classify cancerous arrangements of cells in the images.
Public/Granted literature
- US20220028068A1 MULTI-SCALE TUMOR CELL DETECTION AND CLASSIFICATION Public/Granted day:2022-01-27
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