Ensembling to Leverage the Interpretability of Medical Image Analysis Systems

• Published in: IEEE access Vol. 11; p. 1
• Main Authors: Zafeiriou, Argyrios, Kallipolitis, Athanasios, Maglogiannis, Ilias
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Artificial intelligence; Artificial neural networks; Biomedical imaging; Computer vision; Datasets; Decision making; Deep learning; DeepLIFT; Ensemble learning; Ensemble Models; Explainability; Image analysis; Integrated circuits; Interpretability; Medical diagnostic imaging; Medical Images; Medical imaging; Neurons; Salience; Task analysis

Along with the increase in the accuracy of artificial intelligence systems, complexity has also risen. Despite high accuracy, high-risk decision-making requires explanations about the model's decision, which often take the form of saliency maps. This work examines the efficacy of ensembling dee...