Differentiation of malignant from benign pleural effusions based on artificial intelligence

INTRODUCTION: This study aimed to construct artificial intelligence models based on thoracic CT images to perform segmentation and classification of benign pleural effusion (BPE) and malignant pleural effusion (MPE). METHODS: A total of 918 patients with pleural effusion were initially included, wit...

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Detalles Bibliográficos
Autores principales: Wang, Sufei, Tan, Xueyun, Li, Piqiang, Fan, Qianqian, Xia, Hui, Tian, Shan, Pan, Feng, Zhan, Na, Yu, Rong, Zhang, Liang, Duan, Yanran, Xu, Juanjuan, Ma, Yanling, Chen, Wenjuan, Li, Yan, Zhao, Zilin, Liu, Chaoyang, Bao, Qingjia, Yang, Lian, Jin, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Pleural Disease
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10086496/
https://www.ncbi.nlm.nih.gov/pubmed/36180066
http://dx.doi.org/10.1136/thorax-2021-218581

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10086496/
https://www.ncbi.nlm.nih.gov/pubmed/36180066
http://dx.doi.org/10.1136/thorax-2021-218581

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