公开(公告)号：US20210240966A1

公开(公告)日：2021-08-05

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

IPC: G06K9/00 ,  G06N20/00 ,  G06T7/00

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.

公开(公告)号：US20200074146A1

公开(公告)日：2020-03-05

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

IPC: G06K9/00 ,  G06N20/00 ,  G06T7/00

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.

公开(公告)号：US20240037740A1

公开(公告)日：2024-02-01

申请号：US18360074

申请日：2023-07-27

Applicant: Applied Materials, Inc.

Inventor： Sumit Kumar JHA ,  Gursewak SINGH ,  Rithika CARIAPPA ,  Kiran Rangaswamy AATRE

IPC: G06T7/00 ,  G06V10/82 ,  G06V10/26 ,  G16H50/30

CPC classification number: G06T7/0012 ,  G06V10/82 ,  G06V10/267 ,  G16H50/30 ,  G06T2207/30024 ,  G06T2207/10056 ,  G06T2207/30068 ,  G06T2207/10024

Abstract: Methods and systems for generating a predictive HER2 score using machine learning models are disclosed. An example method generally includes identifying a plurality of nuclei and membrane segments in regions of interest in an input image using a first machine learning model. For the plurality of nuclei and membrane segments identified in the input image, a plurality of features are extracted and classified into one of a plurality of feature categories. Using a second machine learning model, a predictive HER2 score indicating the likelihood of whether a stained tissue sample captured in the input image is HER2 positive or HER2 negative is generated based on the classification assigned to the plurality of extracted features associated with the plurality of segments.

公开(公告)号：US20230394853A1

公开(公告)日：2023-12-07

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

IPC: G06V20/69 ,  G06N20/00 ,  G06T7/00

CPC classification number: G06V20/698 ,  G06N20/00 ,  G06T7/0012 ,  G06T7/11

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.

公开(公告)号：US20230162354A1

公开(公告)日：2023-05-25

申请号：US17993144

申请日：2022-11-23

Applicant: Applied Materials, Inc.

Inventor： Tapashree ROY ,  Shubhayan BHATTACHARYA ,  Kiran Rangaswamy AATRE ,  Sumit Kumar JHA ,  Suraj RENGARAJAN ,  Riya DUTTA

IPC: G06T7/00 ,  G06V10/26 ,  G06V10/764 ,  G06V10/82

CPC classification number: G06T7/0012 ,  G06V10/26 ,  G06V10/764 ,  G06V10/82 ,  G06T2207/10036 ,  G06T2207/30024

Abstract: According to certain embodiments, a system for detection of anomalous cells, comprises a hyperspectral imaging system; a memory having executable instructions stored thereon; and a processor configured to execute the executable instructions to cause the system to: receive a patient hyperspectral image comprising a pixel spectral signature for each pixel of the received patient hyperspectral image; classify the patient hyperspectral image by a machine learning model trained to classify hyperspectral images based on pixel spectral signatures; and provide an indication that the patient hyperspectral image contains an anomalous cell type, responsive to the classifying.