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

OBJECTIVE: We 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. METHODS: A dataset of 1159 images, consisting of 351 images from 138 FTC patients and 808 imag...

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Detalles Bibliográficos
Autores principales: Zheng, Huan, Xiao, Zebin, Luo, Siwei, Wu, Suqing, Huang, Chuxin, Hong, Tingting, He, Yan, Guo, Yanhui, Du, Guoqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709400/
https://www.ncbi.nlm.nih.gov/pubmed/36465352
http://dx.doi.org/10.3389/fonc.2022.939418

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709400/
https://www.ncbi.nlm.nih.gov/pubmed/36465352
http://dx.doi.org/10.3389/fonc.2022.939418

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