Дата публикации: 2023

Дата публикации в реестре: 2023-12-05T12:42:37Z

Аннотация:

Medical image segmentation has a vital role in disease diagnosis and treatment. The feature enhancement module and a mask embedding block for medical image segmentation is proposed. This method utilizes an encoder-decoder architecture with attention mechanism and residual connections to adaptively adjust the importance of each layer of features. The proposed network achieves stronger feature transfer and reconstruction, enhancing multi-scale expressive capabilities and context-awareness иy introducing dense skip connections Experimental results on three datasets demonstrate significant improvements in segmentation accuracy and robustness, particularly in handling segmentation details and boundaries.

Тип: Working Paper