Cell Detection Studio: a system for the development of Deep Learning Neural Networks Algorithms for cell detection and quantification from Whole Slide Images

a technology of deep learning and cell detection, applied in the field of system for the development of deep learning neural networks algorithms for cell detection and quantification from whole slide images, can solve the problems of induced errors, manual assessment at whole slide image level is a tedious, time-consuming, and therefore unfeasible task, and achieves the effect of reducing the number of cells
US20210216745A1Inactive Publication Date: 2021-07-15DEEPATHOLOGY LTD
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Patent Information

Authority / Receiving Office
US · United States
Patent Type
Applications(United States)
Current Assignee / Owner
DEEPATHOLOGY LTD
Publication Date
2021-07-15
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention is made out of methods for the development of Deep Neural Networks for cell detection and quantification in Whole Slide Images (WSI):1. Method to create generic cell detector that detects the centers and contours of all cells in a WSI.2. Method to create algorithms to detect cells of specific categories and that can classify between various types of cells of different categories.3. Method for efficient cell annotation with online learning.4. Method for efficient cell annotation with active learning.5. Method for efficient cell annotation with online learning and data balancing.6. Method for auto annotation of cells7. Cell Detection Studio: a method to create an AI based system that provides pathologists with a semi-automatic tool to create new algorithms aiming to find cells of specific categories in WSI digitally scanned from histological specimen
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Description

BACKGROUND OF THE INVENTIONField of the Invention

[0001] The invention relates to the application of methods of image processing, computer vision, machine learning and deep learning to create new algorithms for the detection of specific types of cells in Whole Slide Images (WSI) obtained by scanning the biopsies with a digital scanner.

[0002] In pharma research and medical diagnosis, the detection and quantification of specific types of cells, e.g. lymphocytes, is important. The usual practice is that the pathologist views the slide under a microscope and roughly estimates the number and density of the cells of interest. The availability of high resolution digital scanners for pathology that produce digitized WSI allows the development of state of the art Computer Vision and Deep Learning methods for cell detection and quantification. Different applications require the detection of different cells. Each new cell detection algorithm usually requires two major efforts: the first is the an...

Claims

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