The role of each module for the overall framework (%). To evaluate the necessity of each module, the segmentation results improved with the addition of each module, and the complete method achieved the best results.

The role of each module for the overall framework (%). To evaluate the necessity of each module, the segmentation results improved with the addition of each module, and the complete method achieved the best results.

<p>The role of each module for the overall framework (%). To evaluate the necessity of each module, the segmentation results improved with the addition of each module, and the complete method achieved the best results.</p>

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Bibliographic Details
Main Author:	Kerang Cao (21602045) (author)
Other Authors:	Miao Zhao (527763) (author), Minghui Geng (21602048) (author), Shuai Zheng (482786) (author), Hoekyung Jung (21602051) (author)
Published:	2025
Subjects:	Biotechnology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified unlike conventional methods reducing model size reduce computational overhead large model sizes experimental results reveal effectively capture multi combine binary cross cardiac function assessments cardiac function assessment address gradient issues proposed model introduces dice loss functions enhance feature selectivity simple attention module paper introduces dice coefficient attention module attention mechanism xlink "> video data stabilize training scale features optimized unet minimize redundancy lightweight simam imprecise segmentation expert annotations efficient solution dynamic dataset automated diagnosis also provide
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