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Found 5 papers, 3 papers with code
CNN-based explanation ensembling for dataset, representation and explanations evaluation
Explainable Artificial Intelligence has gained significant attention due to the widespread use of complex deep learning models in high-stake domains such as medicine, finance, and autonomous cars.
A comparative analysis of deep learning models for lung segmentation on X-ray images
Robust and highly accurate lung segmentation in X-rays is crucial in medical imaging.
NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques
This paper presents a comprehensive comparative analysis of explainable artificial intelligence (XAI) ensembling methods.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Multi-task learning for classification, segmentation, reconstruction, and detection on chest CT scans
Lung cancer and covid-19 have one of the highest morbidity and mortality rates in the world.
Challenges facing the explainability of age prediction models: case study for two modalities
The prediction of age is a challenging task with various practical applications in high-impact fields like the healthcare domain or criminology.
