Artificial intelligence in thyroid ultrasound
CL Cao, QL Li, J Tong, LN Shi, WX Li, Y Xu… - Frontiers in …, 2023 - frontiersin.org
Artificial intelligence (AI), particularly deep learning (DL) algorithms, has demonstrated
remarkable progress in image-recognition tasks, enabling the automatic quantitative …
remarkable progress in image-recognition tasks, enabling the automatic quantitative …
Texture analysis and machine learning to characterize suspected thyroid nodules and differentiated thyroid cancer: Where do we stand?
In thyroid imaging,“texture” refers to the echographic appearence of the parenchyma or a
nodule. However, definition of the image characteristics is operator dependent and …
nodule. However, definition of the image characteristics is operator dependent and …
Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks
Accurate diagnosis of thyroid nodules using ultrasonography is a valuable but tough task
even for experienced radiologists, considering both benign and malignant nodules have …
even for experienced radiologists, considering both benign and malignant nodules have …
A pre-trained convolutional neural network based method for thyroid nodule diagnosis
In ultrasound images, most thyroid nodules are in heterogeneous appearances with various
internal components and also have vague boundaries, so it is difficult for physicians to …
internal components and also have vague boundaries, so it is difficult for physicians to …
Ultrasound-based differentiation of malignant and benign thyroid Nodules: An extreme learning machine approach
J Xia, H Chen, Q Li, M Zhou, L Chen, Z Cai… - Computer methods and …, 2017 - Elsevier
Background and objectives It is important to be able to accurately distinguish between
benign and malignant thyroid nodules in order to make appropriate clinical decisions. The …
benign and malignant thyroid nodules in order to make appropriate clinical decisions. The …
A generic deep learning framework to classify thyroid and breast lesions in ultrasound images
Breast and thyroid cancers are the two common cancers to affect women worldwide.
Ultrasonography (US) is a commonly used non-invasive imaging modality to detect breast …
Ultrasonography (US) is a commonly used non-invasive imaging modality to detect breast …
Multitask cascade convolution neural networks for automatic thyroid nodule detection and recognition
Thyroid ultrasonography is a widely used clinical technique for nodule diagnosis in thyroid
regions. However, it remains difficult to detect and recognize the nodules due to low …
regions. However, it remains difficult to detect and recognize the nodules due to low …
Cascade convolutional neural networks for automatic detection of thyroid nodules in ultrasound images
Purpose It is very important for calculation of clinical indices and diagnosis to detect thyroid
nodules from ultrasound images. However, this task is a challenge mainly due to …
nodules from ultrasound images. However, this task is a challenge mainly due to …
Deep learning-based CAD system design for thyroid tumor characterization using ultrasound images
Abstract Computer-Aided Diagnosis (CAD) system is preferred for automatic thyroid tumor
ultrasound image characterization instead of manual assessment by the experts …
ultrasound image characterization instead of manual assessment by the experts …
TS-DSANN: Texture and shape focused dual-stream attention neural network for benign-malignant diagnosis of thyroid nodules in ultrasound images
Recently, accurate diagnosis of thyroid nodules has played a critical role in precision
medicine and healthcare system management. Due to complicated changes in ultrasound …
medicine and healthcare system management. Due to complicated changes in ultrasound …