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Patent Agency Ranking
公开(公告)号：US11069036B1
公开(公告)日：2021-07-20
申请号：US16733596
申请日：2020-01-03
Applicant: GE Precision Healthcare LLC
Inventor： Govindappa Simhadri , Raghu Prasad , Sandeep Lakshmipathy , Jayanth Ganapathiraju
Abstract: Systems and techniques that facilitate real-time and/or offline de-identification of facial regions from regular and/or occluded color video streams obtained during diagnostic medical procedures are provided. A detection component can generate a bounding box substantially around a person in a frame of a video stream, can generate a heatmap showing key points or anatomical masks of the person based on the bounding box, and can localize a face or facial region of the person based on the key points or anatomical masks. An anonymization component can anonymize pixels in the frame that correspond to the face or facial region. A tracking component can track the face or facial region in a subsequent frame based on a structural similarity index between the frame and the subsequent frame being above a threshold. If the structural similarity index between the frame and the subsequent frame is above the threshold, the tracking component can track the face or facial region in the subsequent frame without having the detection component generate a bounding box or a heatmap in the subsequent frame, and the anonymization component can anonymize pixels in the subsequent frame corresponding to the tracked face or facial region.
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公开(公告)号：US11776680B2
公开(公告)日：2023-10-03
申请号：US17348044
申请日：2021-06-15
Applicant: GE Precision Healthcare LLC
Inventor： Govindappa Simhadri , Raghu Prasad , Sandeep Lakshmipathy , Jayanth Ganapathiraju
CPC classification number: G16H30/40 , G06N20/20 , G06T5/002 , G06T7/248 , G06V10/7715 , G06V40/164 , G06V40/165 , G06T2207/10016 , G06T2207/20081 , G06T2207/30201 , G16H30/20
Abstract: Systems and techniques that facilitate real-time and/or offline de-identification of facial regions from regular and/or occluded color video streams obtained during diagnostic medical procedures are provided. A detection component can generate a bounding box substantially around a person in a frame of a video stream, can generate a heatmap showing key points or anatomical masks of the person based on the bounding box, and can localize a face or facial region of the person based on the key points or anatomical masks. An anonymization component can anonymize pixels in the frame that correspond to the face or facial region. A tracking component can track the face or facial region in a subsequent frame based on a structural similarity index between the frame and the subsequent frame being above a threshold. If the structural similarity index between the frame and the subsequent frame is above the threshold, the tracking component can track the face or facial region in the subsequent frame without having the detection component generate a bounding box or a heatmap in the subsequent frame, and the anonymization component can anonymize pixels in the subsequent frame corresponding to the tracked face or facial region.
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公开(公告)号：US10902587B2
公开(公告)日：2021-01-26
申请号：US15994411
申请日：2018-05-31
Applicant: GE Precision Healthcare LLC
Inventor： Kavitha Manickam , Jignesh Dholakia , Vignesh Singh , Sandeep Lakshmipathy
Abstract: A method and system for automatically labeling a spine image is disclosed. The method includes receiving an input spine image and analyzing image features of the input spine image by a deep neural network. The method further includes generating a mask image corresponding to the input spine image by the deep neural network based on image characteristics of a training image dataset. A region of interest in the mask image comprises vertebral candidates of the spine. The training image dataset comprises a plurality of spine images and a plurality of corresponding mask images. The method further includes associating labels with a plurality of image components of the mask image and labeling the input spine image based on labels associated with the mask image.
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公开(公告)号：US20210312595A1
公开(公告)日：2021-10-07
申请号：US17348044
申请日：2021-06-15
Applicant: GE Precision Healthcare LLC
Inventor： Govindappa Simhadri , Raghu Prasad , Sandeep Lakshmipathy , Jayanth Ganapathiraju
Abstract: Systems and techniques that facilitate real-time and/or offline de-identification of facial regions from regular and/or occluded color video streams obtained during diagnostic medical procedures are provided. A detection component can generate a bounding box substantially around a person in a frame of a video stream, can generate a heatmap showing key points or anatomical masks of the person based on the bounding box, and can localize a face or facial region of the person based on the key points or anatomical masks. An anonymization component can anonymize pixels in the frame that correspond to the face or facial region. A tracking component can track the face or facial region in a subsequent frame based on a structural similarity index between the frame and the subsequent frame being above a threshold. If the structural similarity index between the frame and the subsequent frame is above the threshold, the tracking component can track the face or facial region in the subsequent frame without having the detection component generate a bounding box or a heatmap in the subsequent frame, and the anonymization component can anonymize pixels in the subsequent frame corresponding to the tracked face or facial region.
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公开(公告)号：US20210209734A1
公开(公告)日：2021-07-08
申请号：US16733596
申请日：2020-01-03
Applicant: GE Precision Healthcare LLC
Inventor： Govindappa Simhadri , Raghu Prasad , Sandeep Lakshmipathy , Jayanth Ganapathiraju
Abstract: Systems and techniques that facilitate real-time and/or offline de-identification of facial regions from regular and/or occluded color video streams obtained during diagnostic medical procedures are provided. A detection component can generate a bounding box substantially around a person in a frame of a video stream, can generate a heatmap showing key points or anatomical masks of the person based on the bounding box, and can localize a face or facial region of the person based on the key points or anatomical masks. An anonymization component can anonymize pixels in the frame that correspond to the face or facial region. A tracking component can track the face or facial region in a subsequent frame based on a structural similarity index between the frame and the subsequent frame being above a threshold. If the structural similarity index between the frame and the subsequent frame is above the threshold, the tracking component can track the face or facial region in the subsequent frame without having the detection component generate a bounding box or a heatmap in the subsequent frame, and the anonymization component can anonymize pixels in the subsequent frame corresponding to the tracked face or facial region.
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