… In this study, we explained the objectives of deep learning in thyroid cancer imaging and …
in thyroid cancer diagnosis using deep learning methods and discussed various challenges …

… The abundance of data collected from online medical platforms and electronic health
records can make it challenging for thyroid cancer patients to access relevant and accurate …

… In summary, our study suggests that overdiagnosis of thyroid cancer is increasing rapidly
worldwide and has now become a major global public health challenge. A growing awareness …

… diagnostic imaging and more sensitive diagnostic tools. Increasing incidence of large and
advanced thyroid cancers, as well as thyroid cancer … risk factor for thyroid cancer. Obesity has …

… The three challenges in the application are met to aid radiologists in improving the … the
diagnostic accuracy of thyroid cancer, we present how to model the diagnosis of thyroid cancer by …

… classified as differentiated thyroid cancers. High-grade differentiated thyroid carcinoma,
poorly differentiated thyroid carcinoma, and poorly differentiated thyroid carcinoma, oncocytic …

… presented with distant disease at the time of diagnosis. This is a very small number, which
makes interpretation of trends challenging. Specifically, diseases with subclinical reservoirs …

… the need for further diagnostic investigation with a fine … of a thyroid FNA are available, the
risk of thyroid cancer can be … is more challenging, as the estimated risk of thyroid cancer is …

The incidence of thyroid cancer (TC) has increased worldwide over the past four decades.
TC is divided into three main histological types: differentiated (papillary and follicular TC), …

… Thyroid pathology encompasses a heterogenous group of entities including rare … challenging
neoplasms [1, 2]. In this review, the authors provided a diagnostic approach to rare thyroid …