3D-DDA: 3D Dual-Domain Attention for Brain Tumor Segmentation

• Published in: 2023 IEEE International Conference on Image Processing (ICIP) pp. 3215 - 3219
• Main Authors: Do, Nhu-Tai, Vo-Thanh, Hoang-Son, Nguyen-Quynh, Tram-Tran, Kim, Soo-Hyung
• Format: Conference Proceeding
• Language: English
• Published: IEEE 08.10.2023
• Subjects: 3D dual-domain attention; Annotations; Brain tumor segmentation; Image coding; Image segmentation; medical image analysis; Morphology; Three-dimensional displays; Tumors; Uncertainty

Accurate brain tumor segmentation plays an essential role in the diagnosis process. However, there are challenges due to the variety of tumors in low contrast, morphology, location, annotation bias, and imbalance among tumor regions. This work proposes a novel 3D dual-domain attention module to lear...