A super-resolution guided network for improving automated thyroid nodule segmentation
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 …
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 …
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 …
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 …
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 …
assessment. However, manual segmentation is time-consuming. This paper utilized U-Net …
BPAT-UNet: Boundary preserving assembled transformer UNet for ultrasound thyroid nodule segmentation
Abstract Background and Objective: Accurate and efficient segmentation of thyroid nodules
on ultrasound images is critical for computer-aided nodule diagnosis and treatment. For …
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 …
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 …
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
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 …
in distinguishing between benign and malignant nodules, thus facilitating early diagnosis …
N-Net: a novel dense fully convolutional neural network for thyroid nodule segmentation
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 …
systems. Thyroid nodule segmentation using ultrasound images is a necessary step for the …