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

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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Bibliographic Details
Main Authors: Enock Adjei Agyekum, Zhang Yuzhi, Yu Fang, Doris Nti Agyekum, Xian Wang, Eliasu Issaka, CuiRong Li, Xiangjun Shen, Xiaoqin Qian, Xinping Wu
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Follicular thyroid carcinoma
Follicular thyroid adenoma
Convolutional neural network
Artificial intelligence
Ultrasound
Online Access:https://doi.org/10.1038/s41598-025-05551-7
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https://doi.org/10.1038/s41598-025-05551-7

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