A Deep Learning-Based Radiomics Model for Differentiating Benign and Malignant Renal Tumors()

OBJECTIVES: To investigate the effect of transfer learning on computed tomography (CT) images for the benign and malignant classification on renal tumors and to attempt to improve the classification accuracy by building patient-level models. METHODS: One hundred ninety-two cases of renal tumors were...

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Detalles Bibliográficos
Autores principales: Zhou, Leilei, Zhang, Zuoheng, Chen, Yu-Chen, Zhao, Zhen-Yu, Yin, Xin-Dao, Jiang, Hong-Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2018
Materias:
Original article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299150/
https://www.ncbi.nlm.nih.gov/pubmed/30448734
http://dx.doi.org/10.1016/j.tranon.2018.10.012

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299150/
https://www.ncbi.nlm.nih.gov/pubmed/30448734
http://dx.doi.org/10.1016/j.tranon.2018.10.012

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