Dual-attention deep fusion network for multi-modal medical image segmentation

Shenhai Zheng; Xin Ye; Jiaxin Tan; Yifei Yang; Laquan Li

doi:10.1117/12.2680056

27 June 2023 Dual-attention deep fusion network for multi-modal medical image segmentation

Shenhai Zheng, Xin Ye, Jiaxin Tan, Yifei Yang, Laquan Li

Proceedings Volume 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022); 127051R (2023) https://doi.org/10.1117/12.2680056
Event: Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 2022, Nanjing, China

Abstract

Multi-modal medical image segmentation plays a vital role in clinical applications such as auxiliary diagnosis and surgical planning. However, it is still a challenging task to extract and fuse complementary information crossing modalities. Focusing on this target, this paper proposes a dual-attention deep fusion network for multi-modal medical image segmentation. Generally, this proposed network follows the typical encoder-decoder and skip connection workflow. Unlike existing methods, it applies two attention modules to deeply fuse multi-modal features twice at the encoder and skip connections, respectively. Specifically, we propose a cross-modal complementary feature learning (CMFL) attention module to deeply extract complementary feature information hidden between two modalities, and another multi-scale dual attention (MSDA) module to highlight important effective fusion features and suppress redundant features. Furthermore, the residual connections designed in the decoder can reduce the loss of semantic information caused by the upsampling process. Finally, the proposed network is tested on the Prostate dataset and BraTS dataset and compared with state-of-the-art segmentation networks. Experimental results demonstrate that our proposed method can enhance the cross-modal feature representation, make full use of the complementary information between different modalities, and obtain more accurate segmentation results.

Citation Download Citation

Shenhai Zheng, Xin Ye, Jiaxin Tan, Yifei Yang, and Laquan Li "Dual-attention deep fusion network for multi-modal medical image segmentation", Proc. SPIE 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 127051R (27 June 2023); https://doi.org/10.1117/12.2680056

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KEYWORDS

Image segmentation

Medical imaging

Feature extraction

Feature fusion

Prostate

Semantics

Education and training

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