Ultrasound-based classification of follicular thyroid Cancer using deep convolutional neural networks with transfer learning

Abstract This study aimed to develop and validate convolutional neural network (CNN) models for distinguishing follicular thyroid carcinoma (FTC) from follicular thyroid adenoma (FTA). Additionally, this current study compared the performance of CNN models with the American College of Radiology Thyr...

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書誌詳細

主要な著者:	Enock Adjei Agyekum, Zhang Yuzhi, Yu Fang, Doris Nti Agyekum, Xian Wang, Eliasu Issaka, CuiRong Li, Xiangjun Shen, Xiaoqin Qian, Xinping Wu
フォーマット:	Artigo
言語:	Inglês
出版事項:	Nature Portfolio 2025-07-01
シリーズ:	Scientific Reports
主題:	Follicular thyroid carcinoma Follicular thyroid adenoma Convolutional neural network Artificial intelligence Ultrasound
オンライン･アクセス:	https://doi.org/10.1038/s41598-025-05551-7
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