Deep Learning on Ultrasound Images of Thyroid NodulesThyroid nodulesDeep learningUltrasonographyComputer-assisted diagnosisMedical diagnosisDue to safety, easy accessibility, noninvasively and cost-effectiveness of ultrasound imaging, this technology becomes one of the main contributors for analyzing thyroid ...
Thyroid nodule segmentation and classification in ultrasound images are two essential but challenging tasks for computer-aided diagnosis of thyroid nodules. Since these two tasks are inherently related to each other and sharing some common features, solving them jointly with multi-task leaning is a pro...
thyroid ultrasound imagedeep learningnodules risk stratificationClinically, the risk stratification of thyroid nodules is usually used to formulate the next treatment plan. The American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI㏑ADS) is a kind of medical standard widely ...
Thyroid nodule segmentation and classification in ultrasound images are two essential but challenging tasks for computer-aided diagnosis of thyroid nodules... Q Kang,Q Lao,Y Li,... - 《Medical Image Analysis》 被引量: 0发表: 2022年 A hybrid multi-scale model for thyroid nodule boundary detecti...
Accurate diagnosis of thyroid nodules using ultrasonography is a valuable but tough task even for experienced radiologists, considering both benign and malignant nodules have heterogeneous appearances. Computer-aided diagnosis (CAD) methods could potentially provide objective suggestions to assist radiologists....
The incidental rate of thyroid cancer has significantly increased during the past few decades. Timely identification and suitable treatment are essential for better outcome. High-resolution ultrasound is the preferred modality for the detection of thyroid nodules as it has the capability of locating ...
To develop a deep learning–based method with information fusion of US images and RF signals for better classification of thyroid nodules (TNs).One hundred sixty-three pairs of US images and RF signals of TNs from a cohort of adult patients were used for analysis. We developed an information...
of scan images were removed in order to protect patients' privacy. The training set: 3644 US nodular thyroid images of 3644 patients. The annotation of nodules is labeled by experienced doctors. The annotation images for segmentation task are binary images in which pixels are either 1 for the ...
Traditional techniques to detect cancerous nodules are complex and timeconsuming; hence, several imaging algorithms are used to detect the malignant status of thyroid nodules timely. Aim: This research aims to develop computer-aided diagnosis tools for malignant thyroid nodule detection using ultrasound ...
Iodine density could be valuable for distinguishing thyroid papillary carcinoma from nodular goiter. 1. Background Thyroid nodules are commonly observed in more than half of adult patients receiving thyroid imaging examinations, approximately 7% of which are malignant. The accurate diagnosis of thyroid ...