Performance comparison of all methods on the LiTS → Synapse task.

<p>Performance comparison of all methods on the LiTS → Synapse task.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Jian Lin (323268) (author)
مؤلفون آخرون:	Xiaomin Yu (39962) (author), Zhengxian Wang (5690084) (author), Chaoqiong Ma (306091) (author)
منشور في:	2024
الموضوعات:	Microbiology Genetics Evolutionary Biology Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified proposed algorithm utilizes medical image segmentation global perception ability error propagation due domain transfer phase single image style unsupervised transfer learning reduced style sensitivity 64 %, 3 21 %, 3 existing algorithms face 83 %, 2 source domain model rss initially pre style sensitivity existing algorithms 01 %, unsupervised cross xlink "> transformer architecture trained model subsequently adapts source model reducing reliance generalization capability experimental results
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