Fusion results with UNet2+ (optimizer = Adagrad, learning rate = 0.0001). The best-performing results are highlighted using bold font.

<p>Fusion results with UNet2+ (optimizer = Adagrad, learning rate = 0.0001). The best-performing results are highlighted using bold font.</p>

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Bibliographic Details
Main Author:	Bang-Chuan Chen (21526585) (author)
Other Authors:	Chung-Yi Shen (21526588) (author), Jyh-Wen Chai (695482) (author), Ren-Hung Hwang (21526591) (author), Wei-Chuan Chiang (4040864) (author), Chi-Hsiang Chou (388852) (author), Wei-Min Liu (1527772) (author)
Published:	2025
Subjects:	Biochemistry Molecular Biology Neuroscience Biotechnology Infectious Diseases Space Science refinement entailed applying pertinent radiomic correlations mitigate false positives methodology holds promise effectively reducing fas contrast computed tomography coco dataset demonstrated 9x9 gaussian filter based ils algorithms exploring adaptive fusion diverse fusion strategies xlink "> non surpassing individual u infarction lesion segmentation xlink "> ils ). various u training efficacy method integrates independent approach hausdorff distance external validation average age 7 years 4 females 14 males
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