A Comparative Study of Radiomics and Deep-Learning Based Methods for Pulmonary Nodule Malignancy Prediction in Low Dose CT Images

OBJECTIVES: Both radiomics and deep learning methods have shown great promise in predicting lesion malignancy in various image-based oncology studies. However, it is still unclear which method to choose for a specific clinical problem given the access to the same amount of training data. In this stu...

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Detalles Bibliográficos
Autores principales: Astaraki, Mehdi, Yang, Guang, Zakko, Yousuf, Toma-Dasu, Iuliana, Smedby, Örjan, Wang, Chunliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718670/
https://www.ncbi.nlm.nih.gov/pubmed/34976794
http://dx.doi.org/10.3389/fonc.2021.737368

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718670/
https://www.ncbi.nlm.nih.gov/pubmed/34976794
http://dx.doi.org/10.3389/fonc.2021.737368

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