Title:
TRAINING DEVICE, IMAGE SEGMENTATION DEVICE, TRAINING METHOD, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2024/048363
Kind Code:
A1
Abstract:
This training device for training a model in an image segmentation device that uses the model to perform segmentation of a recognition target in an image comprises: a first evaluation value acquiring unit for acquiring a first evaluation value calculated using a first loss function for evaluating a feature quantity identifying the recognition target in the image; a second evaluation value acquiring unit for acquiring a second evaluation value calculated using a second loss function for evaluating continuity of the recognition target identified in the image; and a training execution unit for performing training to optimize the model by performing error back propagation on the basis of the first evaluation value and the second evaluation value.
Inventors:
NISHIMOTO UCHIDA SHIHORI (JP)
NISHIMOTO TAKASHI (JP)
NISHIMOTO TAKASHI (JP)
Application Number:
PCT/JP2023/030132
Publication Date:
March 07, 2024
Filing Date:
August 22, 2023
Export Citation:
Assignee:
OMRON TATEISI ELECTRONICS CO (JP)
International Classes:
G06T7/00; G06T7/10
Other References:
CHEN XU; WILLIAMS BRYAN M.; VALLABHANENI SRINIVASA R.; CZANNER GABRIELA; WILLIAMS RACHEL; ZHENG YALIN: "Learning Active Contour Models for Medical Image Segmentation", 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE, 15 June 2019 (2019-06-15), pages 11624 - 11632, XP033686570, DOI: 10.1109/CVPR.2019.01190
Attorney, Agent or Firm:
INABA, Yoshiyuki et al. (JP)
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