The Journal of Supercomputing, Journal Year: 2024, Volume and Issue: 81(1)
Published: Dec. 18, 2024
Language: Английский
The Journal of Supercomputing, Journal Year: 2024, Volume and Issue: 81(1)
Published: Dec. 18, 2024
Language: Английский
Bioengineering, Journal Year: 2024, Volume and Issue: 11(10), P. 1047 - 1047
Published: Oct. 20, 2024
Accurate segmentation of thyroid nodules in ultrasound images is crucial for the diagnosis cancer and preoperative planning. However, challenging due to their irregular shape, blurred boundary, uneven echo texture. To address these challenges, a novel Mamba- ResNet-based dual-branch network (MRDB) proposed. Specifically, visual state space block (VSSB) from Mamba ResNet-34 are utilized construct dual encoder extracting global semantics local details, establishing multi-dimensional feature connections. Meanwhile, an upsampling-convolution strategy employed left decoder focusing on image size detail reconstruction. A convolution-upsampling used right emphasize gradual refinement recovery. facilitate interaction between details context within decoder, cross-skip connection introduced. Additionally, hybrid loss function proposed improve boundary performance nodules. Experimental results show that MRDB outperforms state-of-the-art approaches with DSC 90.02% 80.6% two public nodule datasets, TN3K TNUI-2021, respectively. Furthermore, experiments third external dataset, DDTI, demonstrate our method improves by 10.8% compared baseline exhibits good generalization clinical small-scale datasets. The can effectively accuracy has great potential applications.
Language: Английский
Citations
3Displays, Journal Year: 2025, Volume and Issue: unknown, P. 102989 - 102989
Published: Feb. 1, 2025
Language: Английский
Citations
0Displays, Journal Year: 2025, Volume and Issue: unknown, P. 103087 - 103087
Published: May 1, 2025
Language: Английский
Citations
0The Journal of Supercomputing, Journal Year: 2024, Volume and Issue: 81(1)
Published: Dec. 18, 2024
Language: Английский
Citations
1