公开(公告)号：US11915428B2

公开(公告)日：2024-02-27

申请号：US18054372

申请日：2022-11-10

Applicant: Janssen Biotech, Inc.

Inventor： Yanqing Chen ,  Charles Tang ,  Ernesto J. Munoz-Elias

IPC: G06T7/11

CPC classification number: G06T7/11 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30088 ,  G06T2207/30096

Abstract: An image processing method is provided that automatically calculates Body Surface Area (BSA) score using machine learning techniques. A Felzenszwalb image segmentation algorithm is used to define proposed regions in each of a plurality of training set images. The training set images are oversegmented, and then each of the proposed regions in each of the plurality of oversegmented training set images are manually classified as being a lesion or a non-lesion. A Convolutional Neural Network (CNN) is then trained using the manually classified proposed regions in each of the plurality of training set images. The trained CNN is then used on test images to calculate BSA scores.

公开(公告)号：US20230060162A1

公开(公告)日：2023-03-02

申请号：US18054372

申请日：2022-11-10

Applicant: Janssen Biotech, Inc.

Inventor： Yanqing Chen ,  Charles Tang ,  Ernesto J. Munoz-Elias

IPC: G06T7/11

Abstract: An image processing method is provided that automatically calculates Body Surface Area (BSA) score using machine learning techniques. A Felzenszwalb image segmentation algorithm is used to define proposed regions in each of a plurality of training set images. The training set images are oversegmented, and then each of the proposed regions in each of the plurality of oversegmented training set images are manually classified as being a lesion or a non-lesion. A Convolutional Neural Network (CNN) is then trained using the manually classified proposed regions in each of the plurality of training set images. The trained CNN is then used on test images to calculate BSA scores.

公开(公告)号：US11538167B2

公开(公告)日：2022-12-27

申请号：US17115036

申请日：2020-12-08

Applicant: Janssen Biotech, Inc.

Inventor： Yanqing Chen ,  Charles Tang ,  Ernesto J. Munoz-Elias

IPC: G06T7/11

Abstract: An image processing method is provided that automatically calculates Body Surface Area (BSA) score using machine learning techniques. A Felzenszwalb image segmentation algorithm is used to define proposed regions in each of a plurality of training set images. The training set images are oversegmented, and then each of the proposed regions in each of the plurality of oversegmented training set images are manually classified as being a lesion or a non-lesion. A Convolutional Neural Network (CNN) is then trained using the manually classified proposed regions in each of the plurality of training set images. The trained CNN is then used on test images to calculate BSA scores.

公开(公告)号：US20210174512A1

公开(公告)日：2021-06-10

申请号：US17115036

申请日：2020-12-08

Applicant: Janssen Biotech, Inc.

Inventor： Yanqing Chen ,  Charles Tang ,  Ernesto J. Munoz-Elias

IPC: G06T7/11

Abstract: An image processing method is provided that automatically calculates Body Surface Area (BSA) score using machine learning techniques. A Felzenszwalb image segmentation algorithm is used to define proposed regions in each of a plurality of training set images. The training set images are oversegmented, and then each of the proposed regions in each of the plurality of oversegmented training set images are manually classified as being a lesion or a non-lesion. A Convolutional Neural Network (CNN) is then trained using the manually classified proposed regions in each of the plurality of training set images. The trained CNN is then used on test images to calculate BSA scores.