Implementation of artificial intelligence in the histological assessment of pulmonary subsolid nodules

BACKGROUND: Clinical management of subsolid nodules (SSNs) is defined by the suspicion of tumor invasiveness. We sought to develop an artificial intelligent (AI) algorithm for invasiveness assessment of lung adenocarcinoma manifesting as radiological SSNs. We investigated the performance of this alg...

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Detalles Bibliográficos
Autores principales: Deng, Jiajun, Zhao, Mengmeng, Li, Qiuyuan, Zhang, Yikai, Ma, Minjie, Li, Chuanyi, Wang, Jun, She, Yunlang, Jiang, Yan, Zhang, Yunzeng, Wang, Tingting, Wu, Chunyan, Hou, Likun, Zhong, Sheng, Jin, Shengxi, Qian, Dahong, Xie, Dong, Zhu, Yuming, Tandon, Yasmeen K., Snoeckx, Annemiek, Jin, Feng, Yu, Bentong, Zhao, Guofang, Chen, Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743520/
https://www.ncbi.nlm.nih.gov/pubmed/35070762
http://dx.doi.org/10.21037/tlcr-21-971

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743520/
https://www.ncbi.nlm.nih.gov/pubmed/35070762
http://dx.doi.org/10.21037/tlcr-21-971

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