Mamba- and ResNet-Based Dual-Branch Network for Ultrasound Thyroid Nodule Segmentation

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

---

Chinese sign language recognition and translation with virtual digital human dataset

Displays, Journal Year: 2025, Volume and Issue: unknown, P. 102989 - 102989

Published: Feb. 1, 2025

Language: Английский

---

DFIT-Net: A novel dynamic feature integration transformer for automatic segmentation of multi-organ structures in medical imaging

Displays, Journal Year: 2025, Volume and Issue: unknown, P. 103087 - 103087

Published: May 1, 2025

Language: Английский

---

Quantum neural network-assisted learning for small medical datasets: a case study in emphysema detection

The Journal of Supercomputing, Journal Year: 2024, Volume and Issue: 81(1)

Published: Dec. 18, 2024

Language: Английский

---