Robustness Analysis of Deep Learning-Based Lung Cancer Classification Using Explainable Methods

Robustness Analysis of Deep Learning-Based Lung Cancer Classification Using Explainable Methods

Deep Learning (DL) based classification algorithms have been shown to achieve top results in clinical diagnosis, namely with lung cancer datasets. However, the complexity and opaqueness of the models together with the still scant training datasets call for the development of explainable modeling met...

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Bibliographic Details
Main Authors: Mafalda Malafaia, Francisco Silva, Ines Neves, Tania Pereira, Helder P. Oliveira
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
CT scan
congruence
deep learning
diagnostic imaging
interpretability
malignancy
Online Access:https://ieeexplore.ieee.org/document/9919875/

Internet

https://ieeexplore.ieee.org/document/9919875/

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