Towards Machine Learning-Aided Lung Cancer Clinical Routines: Approaches and Open Challenges

Advancements in the development of computer-aided decision (CAD) systems for clinical routines provide unquestionable benefits in connecting human medical expertise with machine intelligence, to achieve better quality healthcare. Considering the large number of incidences and mortality numbers assoc...

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Detalles Bibliográficos
Autores principales: Silva, Francisco, Pereira, Tania, Neves, Inês, Morgado, Joana, Freitas, Cláudia, Malafaia, Mafalda, Sousa, Joana, Fonseca, João, Negrão, Eduardo, Flor de Lima, Beatriz, Correia da Silva, Miguel, Madureira, António J., Ramos, Isabel, Costa, José Luis, Hespanhol, Venceslau, Cunha, António, Oliveira, Hélder P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8950137/
https://www.ncbi.nlm.nih.gov/pubmed/35330479
http://dx.doi.org/10.3390/jpm12030480

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8950137/
https://www.ncbi.nlm.nih.gov/pubmed/35330479
http://dx.doi.org/10.3390/jpm12030480

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