Robotics & Machine Learning Daily News2024,Issue(Sep.16) :63-63.

Medical College of Wisconsin Reports Findings in Machine Learning (Comprehensive Clinical Usability-oriented Contour Quality Evaluation for Deep learning Auto-s egmentation: Combining Multiple Quantitative Metrics through Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Sep.16) :63-63.

Medical College of Wisconsin Reports Findings in Machine Learning (Comprehensive Clinical Usability-oriented Contour Quality Evaluation for Deep learning Auto-s egmentation: Combining Multiple Quantitative Metrics through Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news originating from Milwaukee, Wisconsin, by NewsRx correspondents, research stated, “The current commonlyused metrics fo r evaluating the quality of auto-segmented contours have limitations and do not always reflect the clinical usefulness of the contours. This work aims to develo p a novel contour quality classification (CQC) method by combining multiple quan titative metrics for clinical usability-oriented contour quality evaluation for deep learning-based auto-segmentation (DLAS).”

Key words

Milwaukee/Wisconsin/United States/Nor th and Central America/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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