A super-resolution guided network for improving automated thyroid nodule segmentation

X Lin, X Zhou, T Tong, X Nie, L Wang, H Zheng… - Computer Methods and …, 2022 - Elsevier
Background and Objective: A thyroid nodule is an abnormal lump that grows in the thyroid
gland, which is the early symptom of thyroid cancer. In order to diagnose and treat thyroid …

FCG-Net: an innovative full-scale connected network for thyroid nodule segmentation in ultrasound images

J Shao, T Pan, L Fan, Z Li, J Yang, S Zhang… - … Signal Processing and …, 2023 - Elsevier
Ultrasonic imaging is more susceptible to poor contrast and speckle noise than other
imaging modalities, which poses certain challenges to computer-aided automatic …

Automatic segmentation and classification of thyroid nodules in ultrasound images with convolutional neural networks

M Wang, C Yuan, D Wu, Y Zeng, S Zhong… - … , and Registration of Multi …, 2021 - Springer
Ultrasound image plays an important role in the diagnosis of thyroid disease. Accurate
segmentation and classification of thyroid nodules are challenging due to their …

SK‐Unet++: An improved Unet++ network with adaptive receptive fields for automatic segmentation of ultrasound thyroid nodule images

H Dai, W Xie, E Xia - Medical Physics, 2024 - Wiley Online Library
Background The quality of segmentation of thyroid nodules in ultrasound images is a crucial
factor in preventing the cancerization of thyroid nodules. However, the existing standards for …

Segmentation of thyroid glands and nodules in ultrasound images using the improved U-Net architecture

T Zheng, H Qin, Y Cui, R Wang, W Zhao, S Zhang… - BMC Medical …, 2023 - Springer
Background Identifying thyroid nodules' boundaries is crucial for making an accurate clinical
assessment. However, manual segmentation is time-consuming. This paper utilized U-Net …

BPAT-UNet: Boundary preserving assembled transformer UNet for ultrasound thyroid nodule segmentation

H Bi, C Cai, J Sun, Y Jiang, G Lu, H Shu, X Ni - Computer methods and …, 2023 - Elsevier
Abstract Background and Objective: Accurate and efficient segmentation of thyroid nodules
on ultrasound images is critical for computer-aided nodule diagnosis and treatment. For …

Local and context-attention adaptive LCA-Net for thyroid nodule segmentation in ultrasound images

Z Tao, H Dang, Y Shi, W Wang, X Wang, S Ren - Sensors, 2022 - mdpi.com
The thyroid nodule segmentation of ultrasound images is a critical step for the early
diagnosis of thyroid cancers in clinics. Due to the weak edge of ultrasound images and the …

TNSNet: thyroid nodule segmentation in ultrasound imaging using soft shape supervision

J Sun, C Li, Z Lu, M He, T Zhao, X Li, L Gao… - Computer methods and …, 2022 - Elsevier
Background and objectives: Thyroid nodules are a common disorder of the endocrine
system. Segmentation of thyroid nodules on ultrasound images is an important step in the …

MLMSeg: a multi-view learning model for ultrasound thyroid nodule segmentation

G Chen, G Tan, M Duan, B Pu, H Luo, S Li… - Computers in Biology and …, 2024 - Elsevier
Accurate segmentation of the thyroid gland in ultrasound images is an essential initial step
in distinguishing between benign and malignant nodules, thus facilitating early diagnosis …

N-Net: a novel dense fully convolutional neural network for thyroid nodule segmentation

X Nie, X Zhou, T Tong, X Lin, L Wang… - Frontiers in …, 2022 - frontiersin.org
Medical image segmentation is an essential component of computer-aided diagnosis (CAD)
systems. Thyroid nodule segmentation using ultrasound images is a necessary step for the …