Invention Grant
- Patent Title: High-throughput adaptive sampling for whole-slide histopathology image analysis
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Application No.: US16023361Application Date: 2018-06-29
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Publication No.: US10235755B2Publication Date: 2019-03-19
- Inventor: Anant Madabhushi , Angel Alfonso Cruz Roa , Fabio Gonzalez
- Applicant: Case Western Reserve University
- Applicant Address: US OH Cleveland
- Assignee: Case Western Reserve University
- Current Assignee: Case Western Reserve University
- Current Assignee Address: US OH Cleveland
- Agency: Eschweiler & Potashnik, LLC
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/00 ; G16H30/20 ; G06F19/00 ; G16H50/20 ; A61B10/00 ; G06K9/46 ; G06K9/62 ; G06N7/00

Abstract:
Methods, apparatus, and other embodiments associated with classifying a region of tissue represented in a digitized whole slide image (WSI) using iterative gradient-based quasi-Monte Carlo (QMC) sampling. One example apparatus includes an image acquisition circuit that acquires a WSI of a region of tissue demonstrating cancerous pathology, an adaptive sampling circuit that selects a subset of tiles from the WSI using an iterative QMC Sobol sequence sampling approach, an invasiveness circuit that determines a probability of a presence of invasive pathology in a member of the subset of tiles, a probability map circuit that generates an invasiveness probability map based on the probability, a probability gradient circuit that generates a gradient image based on the invasiveness probability map, and a classification circuit that classifies the region of tissue based on the probability map. A prognosis or treatment plan may be provided based on the classification of the WSI.
Public/Granted literature
- US20180322631A1 HIGH-THROUGHPUT ADAPTIVE SAMPLING FOR WHOLE-SLIDE HISTOPATHOLOGY IMAGE ANALYSIS Public/Granted day:2018-11-08
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