Search Results for author:
Found 3 papers, 1 papers with code
Interpretability-guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data
Multi-centre colonoscopy images from various medical centres exhibit distinct complicating factors and overlays that impact the image content, contingent on the specific acquisition centre.
Causality-Inspired Taxonomy for Explainable Artificial Intelligence
As two sides of the same coin, causality and explainable artificial intelligence (xAI) were initially proposed and developed with different goals.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Deep Aesthetic Assessment and Retrieval of Breast Cancer Treatment Outcomes
Currently, there is no gold standard for evaluating the aesthetic outcome of breast cancer treatment.
