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公开(公告)号：US20220164952A1
公开(公告)日：2022-05-26
申请号：US17571427
申请日：2022-01-07
Applicant: Applied Materials, Inc.
Inventor： Parijat P. Prabhudesai , Ganesh Kumar Mohanur Raghunathan , Aditya Sista , Sumit Kumar Jha , Narasimha Murthy Chandan
Abstract: An imaging system includes a microscope to generate magnified images of regions of interest of a tissue sample, a camera to capture and store the magnified images, and a controller. The controller is configured to, for each magnification level in a sequence of increasing magnification levels, image one or more regions of interest of the tissue sample at the current magnification level. For each region of interest, data is generated defining one or more refined regions of interest based on the magnified image of the region of interest of the tissue sample at the current magnification level. Each refined region of interest corresponds to a proper subset of the tissue sample, and the refined regions of interest of the tissue sample provide the regions of interest to be imaged at a next magnification level from the sequence of increasing magnification levels.
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Patent Agency Ranking
公开(公告)号：US11688188B2
公开(公告)日：2023-06-27
申请号：US17236739
申请日：2021-04-21
Applicant: Applied Materials, Inc.
Inventor： Parijat Prakash Prabhudesai , Ganesh Kumar Mohanur Raghunathan , Sumit Kumar Jha , Aditya Sista , Narasimha Murthy Chandan
CPC classification number: G06V20/698 , G06N20/00 , G06T7/0012 , G06N3/02 , G06T7/11 , G06T2207/20081 , G06T2207/30024
Abstract: Certain aspects of the present disclosure provide techniques for automatically detecting and classifying tumor regions in a tissue slide. The method generally includes obtaining a digitized tissue slide from a tissue slide database and determining, based on output from a tissue classification module, a type of tissue of shown in the digitized tissue slide. The method further includes determining, based on output from a tumor classification model for the type of tissue, a region of interest (ROI) of the digitized tissue slide and generating a classified slide showing the ROI of the digitized tissue slide and an estimated diameter of the ROI. The method further includes displaying on an image display unit, the classified slide and user interface (UI) elements enabling a pathologist to enter input related to the classified slide.
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公开(公告)号：US12211296B2
公开(公告)日：2025-01-28
申请号：US18208655
申请日：2023-06-12
Applicant: Applied Materials, Inc.
Inventor： Parijat Prakash Prabhudesai , Ganesh Kumar Mohanur Raghunathan , Sumit Kumar Jha , Aditya Sista , Narasimha Murthy Chandan
Abstract: Certain aspects of the present disclosure provide techniques for automatically detecting and classifying tumor regions in a tissue slide. The method generally includes obtaining a digitized tissue slide from a tissue slide database and determining, based on output from a tissue classification module, a type of tissue of shown in the digitized tissue slide. The method further includes determining, based on output from a tumor classification model for the type of tissue, a region of interest (ROI) of the digitized tissue slide and generating a classified slide showing the ROI of the digitized tissue slide and an estimated diameter of the ROI. The method further includes displaying on an image display unit, the classified slide and user interface (UI) elements enabling a pathologist to enter input related to the classified slide.
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公开(公告)号：US11694331B2
公开(公告)日：2023-07-04
申请号：US17571427
申请日：2022-01-07
Applicant: Applied Materials, Inc.
Inventor： Parijat P. Prabhudesai , Ganesh Kumar Mohanur Raghunathan , Aditya Sista , Sumit Kumar Jha , Narasimha Murthy Chandan
CPC classification number: G06T7/0012 , G06T7/11 , G06T7/143 , G06T2207/30024
Abstract: An imaging system includes a microscope to generate magnified images of regions of interest of a tissue sample, a camera to capture and store the magnified images, and a controller. The controller is configured to, for each magnification level in a sequence of increasing magnification levels, image one or more regions of interest of the tissue sample at the current magnification level. For each region of interest, data is generated defining one or more refined regions of interest based on the magnified image of the region of interest of the tissue sample at the current magnification level. Each refined region of interest corresponds to a proper subset of the tissue sample, and the refined regions of interest of the tissue sample provide the regions of interest to be imaged at a next magnification level from the sequence of increasing magnification levels.
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公开(公告)号：US11232561B2
公开(公告)日：2022-01-25
申请号：US16746569
申请日：2020-01-17
Applicant: Applied Materials, Inc.
Inventor： Parijat P. Prabhudesai , Ganesh Kumar Mohanur Raghunathan , Aditya Sista , Sumit Kumar Jha , Narasimha Murthy Chandan
Abstract: An imaging system includes a microscope to generate magnified images of regions of interest of a tissue sample, a camera to capture and store the magnified images, and a controller. The controller is configured to, for each magnification level in a sequence of increasing magnification levels, image one or more regions of interest of the tissue sample at the current magnification level. For each region of interest, data is generated defining one or more refined regions of interest based on the magnified image of the region of interest of the tissue sample at the current magnification level. Each refined region of interest corresponds to a proper subset of the tissue sample, and the refined regions of interest of the tissue sample provide the regions of interest to be imaged at a next magnification level from the sequence of increasing magnification levels.
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公开(公告)号：US11017207B2
公开(公告)日：2021-05-25
申请号：US16553562
申请日：2019-08-28
Applicant: Applied Materials, Inc.
Inventor： Parijat Prakash Prabhudesai , Ganesh Kumar Mohanur Raghunathan , Sumit Kumar Jha , Aditya Sista , Narasimha Murthy Chandan
Abstract: Certain aspects of the present disclosure provide techniques for automatically detecting and classifying tumor regions in a tissue slide. The method generally includes obtaining a digitized tissue slide from a tissue slide database and determining, based on output from a tissue classification module, a type of tissue of shown in the digitized tissue slide. The method further includes determining, based on output from a tumor classification model for the type of tissue, a region of interest (ROI) of the digitized tissue slide and generating a classified slide showing the ROI of the digitized tissue slide and an estimated diameter of the ROI. The method further includes displaying on an image display unit, the classified slide and user interface (UI) elements enabling a pathologist to enter input related to the classified slide.
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