Review of deep learning approaches for thyroid cancer diagnosis
S Anari, N Tataei Sarshar, N Mahjoori… - Mathematical …, 2022 - Wiley Online Library
Thyroid nodule is one of the common life‐threatening diseases, and it had an increasing
trend over the last years. Ultrasound imaging is a commonly used diagnostic method for …
trend over the last years. Ultrasound imaging is a commonly used diagnostic method for …
Deep learning on ultrasound images of thyroid nodules
Due to safety, easy accessibility, noninvasively and cost-effectiveness of ultrasound
imaging, this technology becomes one of the main contributors for analyzing thyroid …
imaging, this technology becomes one of the main contributors for analyzing thyroid …
Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks
Thyroid cancer is a disease in which the first symptom is a nodule in the thyroid region of the
neck. It is one of the cancers with the highest incidences, and has the highest increase rate …
neck. It is one of the cancers with the highest incidences, and has the highest increase rate …
Deep convolutional neural networks in thyroid disease detection: a multi-classification comparison by ultrasonography and computed tomography
Abstract Background and Objective: As one of the largest endocrine organs in the human
body, the thyroid gland regulates daily metabolism. Early detection of thyroid disease leads …
body, the thyroid gland regulates daily metabolism. Early detection of thyroid disease leads …
Ultrasound image-based diagnosis of malignant thyroid nodule using artificial intelligence
Computer-aided diagnosis systems have been developed to assist doctors in diagnosing
thyroid nodules to reduce errors made by traditional diagnosis methods, which are mainly …
thyroid nodules to reduce errors made by traditional diagnosis methods, which are mainly …
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 …
Thyroid nodule classification in ultrasound images by fine-tuning deep convolutional neural network
With many thyroid nodules being incidentally detected, it is important to identify as many
malignant nodules as possible while excluding those that are highly likely to be benign from …
malignant nodules as possible while excluding those that are highly likely to be benign from …
Diagnosis of thyroid nodules on ultrasonography by a deep convolutional neural network
The purpose of this study was to evaluate and compare the diagnostic performances of the
deep convolutional neural network (CNN) and expert radiologists for differentiating thyroid …
deep convolutional neural network (CNN) and expert radiologists for differentiating thyroid …
Evaluation of a deep learning‐based computer‐aided diagnosis system for distinguishing benign from malignant thyroid nodules in ultrasound images
C Sun, Y Zhang, Q Chang, T Liu, S Zhang… - Medical …, 2020 - Wiley Online Library
Purpose Computer‐aided diagnosis (CAD) systems assist in solving subjective diagnosis
problems that typically rely on personal experience. A CAD system has been developed to …
problems that typically rely on personal experience. A CAD system has been developed 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 …