(MLSRS-SegFormer):

Inda Rusdia Sofiani1,2, Hadi Suyono3, Erni Yudaningtyas3

  • 1Student of Doctoral Degree, Department of Electrical Engineering, Brawijaya University, Malang 65145, Indonesia.

MethodsX
|November 24, 2025
PubMed
概括

新的多级空间关系SegFormer (MLSRS-SegFormer) 通过提高边界精度和准确性来增强医疗图像细分. 这种视觉变压器架构在临床应用中实现了卓越的性能.

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