Integrated Gradients and DeepLIFT ranked highest among 13 XAI methods for faithfulness, complexity, and plausibility in head and neck cancer outcome prediction on the HECKTOR multi-center dataset.
PET and CT based DenseNet outperforms advanced deep learning models for outcome prediction of oropharyngeal cancer
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Ranking XAI Methods for Head and Neck Cancer Outcome Prediction
Integrated Gradients and DeepLIFT ranked highest among 13 XAI methods for faithfulness, complexity, and plausibility in head and neck cancer outcome prediction on the HECKTOR multi-center dataset.