Invention Grant
- Patent Title: Reducing structural redundancy in automatic image segmentation
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Application No.: US16948420Application Date: 2020-09-17
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Publication No.: US11651499B2Publication Date: 2023-05-16
- Inventor: Hongzhi Wang , Tanveer Syeda-Mahmood
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Steven M. Bouknight
- Main IPC: G06T7/143
- IPC: G06T7/143 ; G06T7/00

Abstract:
A method for automatically training and applying automatic segmentation in digital image processing is provided. The method may include, in response to receiving a plurality of digital images wherein each digital image associated with the plurality of digital images comprises only one annotated structure out of a plurality of structures included in each digital image, applying a predictive algorithm to each digital image that determines a predicted probability of each annotation in each digital image, determines a predicted background for each digital image, and merges the predicted probability of each annotation with the predicted background in each digital image. The method may further include, in response to applying the predictive algorithm, using the received plurality of digital images to train and apply an application for automatically segmenting unlabeled digital images.
Public/Granted literature
- US20220084209A1 REDUCING STRUCTURAL REDUNDANCY IN AUTOMATIC IMAGE SEGMENTATION Public/Granted day:2022-03-17
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