DeepLN: A Multi-Task AI Tool to Predict the Imaging Characteristics, Malignancy and Pathological Subtypes in CT-Detected Pulmonary Nodules

OBJECTIVES: Distinction of malignant pulmonary nodules from the benign ones based on computed tomography (CT) images can be time-consuming but significant in routine clinical management. The advent of artificial intelligence (AI) has provided an opportunity to improve the accuracy of cancer risk pre...

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Detalles Bibliográficos
Autores principales: Wang, Chengdi, Shao, Jun, Xu, Xiuyuan, Yi, Le, Wang, Gang, Bai, Congchen, Guo, Jixiang, He, Yanqi, Zhang, Lei, Yi, Zhang, Li, Weimin
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/PMC9130467/
https://www.ncbi.nlm.nih.gov/pubmed/35646699
http://dx.doi.org/10.3389/fonc.2022.683792

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130467/
https://www.ncbi.nlm.nih.gov/pubmed/35646699
http://dx.doi.org/10.3389/fonc.2022.683792

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