Improve follicular thyroid carcinoma diagnosis using computer aided diagnosis system on ultrasound images

Improve follicular thyroid carcinoma diagnosis using computer aided diagnosis system on ultrasound images

ObjectiveWe aim to leverage deep learning to develop a computer aided diagnosis (CAD) system toward helping radiologists in the diagnosis of follicular thyroid carcinoma (FTC) on thyroid ultrasonography.MethodsA dataset of 1159 images, consisting of 351 images from 138 FTC patients and 808 images fr...

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Bibliographic Details
Main Authors: Huan Zheng, Zebin Xiao, Siwei Luo, Suqing Wu, Chuxin Huang, Tingting Hong, Yan He, Yanhui Guo, Guoqing Du
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Oncology
Subjects:
follicular thyroid carcinoma
computer aided diagnosis
deep learning
thyroid ultrasonography
transfer learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.939418/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.939418/full

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