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

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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Bibliographic Details
Main Authors: Francisco Silva, Tania Pereira, Inês Neves, Joana Morgado, Cláudia Freitas, Mafalda Malafaia, Joana Sousa, João Fonseca, Eduardo Negrão, Beatriz Flor de Lima, Miguel Correia da Silva, António J. Madureira, Isabel Ramos, José Luis Costa, Venceslau Hespanhol, António Cunha, Hélder P. Oliveira
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Journal of Personalized Medicine
Subjects:
computer-aided decision
learning models
CT scan
lung cancer
Online Access:https://www.mdpi.com/2075-4426/12/3/480

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https://www.mdpi.com/2075-4426/12/3/480

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