Purpose To develop a deep learning–based computer-aided diagnosis (CAD) system for
use in the CT diagnosis of cervical lymph node metastasis (LNM) in patients with thyroid …

Purpose This study aimed to validate a deep learning model's diagnostic performance in
using computed tomography (CT) to diagnose cervical lymph node metastasis (LNM) from …

Objective. The incidence of primary thyroid cancer has risen steadily over the past decades
because of overdiagnosis and overtreatment through the improvement in imaging …

Background: The presence of metastatic lymph nodes is a prognostic indicator for patients
with thyroid carcinomas and is an important determinant of clinical decision making …

Objective The purpose of this study was to improve the differentiation between malignant
and benign thyroid nodules using deep learning (DL) in category 4 and 5 based on the …

Computer-aided diagnosis (CAD) systems hold potential to improve the diagnostic accuracy
of thyroid ultrasound (US). We aimed to develop a deep learning-based US CAD system …

Background The incidence of thyroid cancer is rising steadily because of overdiagnosis and
overtreatment conferred by widespread use of sensitive imaging techniques for screening …

Background Central lymph node metastasis (CLNM) occurs frequently in patients with
papillary thyroid cancer (PTC), but performing prophylactic central lymph node dissection is …

Importance Accurate identification of lymph node metastasis preoperatively and
noninvasively in patients with cervical cancer can avoid unnecessary surgical intervention …

Background We designed a deep convolutional neural network (CNN) to diagnose thyroid
malignancy on ultrasound (US) and compared the diagnostic performance of CNN with that …