Background Deep learning offers considerable promise for medical diagnostics. We aimed
to evaluate the diagnostic accuracy of deep learning algorithms versus health-care …

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In this article, we consider deep learning strategies in ultrasound systems, from the front end
to advanced applications. Our goal is to provide the reader with a broad understanding of …

Accurate diagnosis of thyroid nodules using ultrasonography is a valuable but tough task
even for experienced radiologists, considering both benign and malignant nodules have …

The lack of representative features between benign nodules, especially level 3 of Thyroid
Imaging Reporting and Data System (TI-RADS), and malignant nodules limits diagnostic …

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 cancer is the most common endocrine cancer and its incidence has continuously
increased worldwide. In this paper, we focus on the challenging problem of nodule detection …

Owing to the high incidence rate and the severe impact of skin cancer, the precise diagnosis
of malignant skin tumors is a significant goal, especially considering treatment is normally …

Deep learning methods have huge success in task specific feature representation. Transfer
learning algorithms are very much effective when large training data is scarce. It has been …

Abstract Computer-Aided Diagnosis (CAD) system is preferred for automatic thyroid tumor
ultrasound image characterization instead of manual assessment by the experts …