Predicting Malignancy in Sonographic Features of Thyroid Nodules Using Convolutional Neural Networks ResNet50 Model

Objective To predict sonographic features of malignancy in thyroid nodules by using convolutional neural networks (CNNs) ResNet50 model. Methods A cohort of 461 patients having sonographic thyroid nodules with histology diagnosis were randomly split into training set (70%), validation set (15%) and...

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Autor Principal:	Jingfang Dong, MD, Jianyun Wang, MD, Xiangzhu Wang, MD
Formato:	Artigo
Idioma:	Inglês
Publicado:	Editorial Office of Advanced Ultrasound in Diagnosis and Therapy 2023-03-01
Series:	Advanced Ultrasound in Diagnosis and Therapy
Assuntos:	|thyroid nodules|malignancy|sonographic feature|deep learning|convolutional neural networks|resnet50 model
Acceso en liña:	http://www.journaladvancedultrasound.com:81/fileup/2576-2516/PDF/1680237742580-2128627791.pdf
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