Lesions segmentation results in each model.

Lesions segmentation results in each model.

<p>Comparisone of apparent diffusion coefficient and diffusion-weighted image predictions from different images.</p>

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Bibliographic Details
Main Author:	Seok Jin Bang (13028202) (author)
Other Authors:	Yong-Tae Kim (249037) (author), Young Jae Kim (8098697) (author), Kwang Gi Kim (10654900) (author)
Published:	2025
Subjects:	Medicine Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified second leading cause fully connected network dice similarity coefficient validated using five fcn model exhibited xlink "> stroke ischemic stroke collected constructed using data net model demonstrated artificial intelligence models apparent diffusion coefficient lesion segmentation performance dsc ), accuracy adc images based lesion segmentation fcn ), conducted using image data evaluated based adc based stroke diagnosis weighted imaging utilizing images training models trained models retrospective design future research fold cross different b deaths worldwide comparing diffusion comparative analysis adc images 360 patients
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Summary:	<p>Comparisone of apparent diffusion coefficient and diffusion-weighted image predictions from different images.</p>

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