公开(公告)号：US11321839B2

公开(公告)日：2022-05-03

申请号：US17028747

申请日：2020-09-22

Applicant: Applied Materials, Inc.

Inventor： Sumit Kumar Jha ,  Aditya Sista ,  Ganesh Kumar Mohanur Raghunathan ,  Ubhay Kumar ,  Kedar Sapre

IPC: G06K9/00 ,  G06T7/00 ,  G06T7/11 ,  G06K9/62 ,  G06V10/25

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a machine learning model to segment magnified images of tissue samples. The method includes obtaining a magnified image of a tissue sample; processing an input comprising: the image, features derived from the image, or both, in accordance with current values of model parameters of a machine learning model to generate an automatic segmentation of the image into a plurality of tissue classes; providing, to a user through a user interface, an indication of: (i) the image, and (ii) the automatic segmentation of the image; determining an edited segmentation of the image, comprising applying modifications specified by the user to the automatic segmentation of the image; and determining updated values of the model parameters of the machine learning model based the edited segmentation of the image.

公开(公告)号：US20210090251A1

公开(公告)日：2021-03-25

申请号：US17028747

申请日：2020-09-22

Applicant: Applied Materials, Inc.

Inventor： Sumit Kumar Jha ,  Aditya Sista ,  Ganesh Kumar Mohanur Raghunathan ,  Ubhay Kumar ,  Kedar Sapre

IPC: G06T7/00 ,  G06T7/11 ,  G06K9/32 ,  G06K9/62

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a machine learning model to segment magnified images of tissue samples. The method includes obtaining a magnified image of a tissue sample; processing an input comprising: the image, features derived from the image, or both, in accordance with current values of model parameters of a machine learning model to generate an automatic segmentation of the image into a plurality of tissue classes; providing, to a user through a user interface, an indication of: (i) the image, and (ii) the automatic segmentation of the image; determining an edited segmentation of the image, comprising applying modifications specified by the user to the automatic segmentation of the image; and determining updated values of the model parameters of the machine learning model based the edited segmentation of the image.

公开(公告)号：US11663722B2

公开(公告)日：2023-05-30

申请号：US17729377

申请日：2022-04-26

Applicant: Applied Materials, Inc.

Inventor： Sumit Kumar Jha ,  Aditya Sista ,  Ganesh Kumar Mohanur Raghunathan ,  Ubhay Kumar ,  Kedar Sapre

IPC: G06K9/00 ,  G06T7/00 ,  G06T7/11 ,  G06V10/25 ,  G06F18/22 ,  G06F18/243

CPC classification number: G06T7/0012 ,  G06F18/22 ,  G06F18/24323 ,  G06T7/11 ,  G06V10/25 ,  G06T2207/10056 ,  G06T2207/20084 ,  G06T2207/30024

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a machine learning model to segment magnified images of tissue samples. The method includes obtaining a magnified image of a tissue sample; processing an input comprising: the image, features derived from the image, or both, in accordance with current values of model parameters of a machine learning model to generate an automatic segmentation of the image into a plurality of tissue classes; providing, to a user through a user interface, an indication of: (i) the image, and (ii) the automatic segmentation of the image; determining an edited segmentation of the image, comprising applying modifications specified by the user to the automatic segmentation of the image; and determining updated values of the model parameters of the machine learning model based the edited segmentation of the image.

公开(公告)号：US20220261992A1

公开(公告)日：2022-08-18

申请号：US17729377

申请日：2022-04-26

Applicant: Applied Materials, Inc.

Inventor： Sumit Kumar Jha ,  Aditya Sista ,  Ganesh Kumar Mohanur Raghunathan ,  Ubhay Kumar ,  Kedar Sapre

IPC: G06T7/00 ,  G06T7/11 ,  G06K9/62 ,  G06V10/25

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a machine learning model to segment magnified images of tissue samples. The method includes obtaining a magnified image of a tissue sample; processing an input comprising: the image, features derived from the image, or both, in accordance with current values of model parameters of a machine learning model to generate an automatic segmentation of the image into a plurality of tissue classes; providing, to a user through a user interface, an indication of: (i) the image, and (ii) the automatic segmentation of the image; determining an edited segmentation of the image, comprising applying modifications specified by the user to the automatic segmentation of the image; and determining updated values of the model parameters of the machine learning model based the edited segmentation of the image.