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An XAI Approach to Deep Learning Models in the Detection of DCIS
The results showed that XAI could indeed be used as a proof of concept to begin discussions on the implementation of assistive AI systems within the clinical community.
Explainable Artificial Intelligence (XAI)
Explainable Models
Predicting Relative Depth between Objects from Semantic Features
The problem is casted as a classification one and geometrical features based on object bounding boxes, object labels and scene attributes are computed and used as inputs to pattern recognition models to predict relative depth.
