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Multi-modality self-attention aware deep network for 3D biomedical segmentation.

Xibin Jia¹, Yunfeng Liu¹, Zhenghan Yang²

¹Faculty of information technology, Beijing University of Technology, Beijing, China.

BMC Medical Informatics and Decision Making

|July 11, 2020

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This study introduces a novel Multi-Modality Self-Attention Aware (MMSA) convolution for improved 3D biomedical image segmentation. The MMSA method effectively fuses information from multiple imaging modalities, enhancing diagnostic accuracy for complex diseases like cancer.

Failed At:

2026-06-19T13:48:00.411968+00:00

Keywords:

3D biomedical segmentation Attention mechanism Multi-modal fusion

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