A multi-kernel and multi-scale learning based deep ensemble model for predicting recurrence of non-small cell lung cancer

Predicting recurrence in patients with non-small cell lung cancer (NSCLC) before treatment is vital for guiding personalized medicine. Deep learning techniques have revolutionized the application of cancer informatics, including lung cancer time-to-event prediction. Most existing convolutional neura...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Gihyeon, Park, Young Mi, Yoon, Hyun Jung, Choi, Jang-Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280639/
https://www.ncbi.nlm.nih.gov/pubmed/37346527
http://dx.doi.org/10.7717/peerj-cs.1311

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280639/
https://www.ncbi.nlm.nih.gov/pubmed/37346527
http://dx.doi.org/10.7717/peerj-cs.1311

Ejemplares similares