Deep learning based automated epidermal growth factor receptor and anaplastic lymphoma kinase status prediction of brain metastasis in non-small cell lung cancer

AIM: The aim of this study was to investigate the feasibility of developing a deep learning (DL) algorithm for classifying brain metastases from non-small cell lung cancer (NSCLC) into epidermal growth factor receptor (EGFR) mutation and anaplastic lymphoma kinase (ALK) rearrangement groups and to c...

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Detalles Bibliográficos
Autores principales: Mahajan, Abhishek, B, Gurukrishna, Wadhwa, Shweta, Agarwal, Ujjwal, Baid, Ujjwal, Talbar, Sanjay, Janu, Amit Kumar, Patil, Vijay, Noronha, Vanita, Mummudi, Naveen, Tibdewal, Anil, Agarwal, JP, Yadav, Subash, Kumar Kaushal, Rajiv, Puranik, Ameya, Purandare, Nilendu, Prabhash, Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Open Exploration Publishing 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511818/
https://www.ncbi.nlm.nih.gov/pubmed/37745691
http://dx.doi.org/10.37349/etat.2023.00158

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511818/
https://www.ncbi.nlm.nih.gov/pubmed/37745691
http://dx.doi.org/10.37349/etat.2023.00158

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