Invention Grant
- Patent Title: Fast synthetic Haralick texture generation for histology images
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Application No.: US17029518Application Date: 2020-09-23
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Publication No.: US11295112B2Publication Date: 2022-04-05
- Inventor: Cheng Lu , Anant Madabhushi , Khoi Le
- 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 ; G06K9/62

Abstract:
Embodiments discussed herein facilitate training deep learning models to generate synthetic versions of histological texture features and employing such deep learning models. One example embodiment is an apparatus configured to convert a stained histological image to grayscale; extract patches from the grayscale image; for each patch of the plurality of patches: provide that patch to a deep learning model trained to generate a synthetic version of a texture feature; and obtain an associated patch from the deep learning model that indicates an associated value of the synthetic version of the histology texture feature for each pixel of that patch; and merge the associated patches for each patch of the plurality of patches to generate an associated feature map for the stained histological image, wherein the associated feature map indicates the associated value of the synthetic version of the histology texture feature for each pixel of the plurality of pixels.
Public/Granted literature
- US20210089745A1 FAST SYNTHETIC HARALICK TEXTURE GENERATION FOR HISTOLOGY IMAGES Public/Granted day:2021-03-25
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