Robotics & Machine Learning Daily News2024,Issue(Sep.11) :29-29.

Findings from Shandong University of Science and Technology Provide New Insights into Intelligent Systems (A Teacher-guided Earlylearning Method for Medical Im age Segmentation From Noisy Labels)

Robotics & Machine Learning Daily News2024,Issue(Sep.11) :29-29.

Findings from Shandong University of Science and Technology Provide New Insights into Intelligent Systems (A Teacher-guided Earlylearning Method for Medical Im age Segmentation From Noisy Labels)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning - Intelligent Systems. According to news reporting originating fr om Shandong, People’s Republic of China, by NewsRx correspondents, research stat ed, “The success of current deep learning models depends on a large number of pr ecise labels. However, in the field of medical image segmentation, acquiring pre cise labels is labor-intensive and time-consuming.”

Key words

Shandong/People’s Republic of China/Asia/Intelligent Systems/Machine Learning/Shandong University of Science and Te chnology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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