Explainable artificial intelligence (XAI): from inherent explainability to large language models
F Mumuni, A Mumuni - ar** and the concept-to-label prediction, have garnered significant attention …
This looks better than that: Better interpretable models with protopnext
F Willard, L Moffett, E Mokel, J Donnelly, S Guo… - arxiv preprint arxiv …, 2024 - arxiv.org
Prototypical-part models are a popular interpretable alternative to black-box deep learning
models for computer vision. However, they are difficult to train, with high sensitivity to …
models for computer vision. However, they are difficult to train, with high sensitivity to …
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks
The increasing demand for transparent and reliable models, particularly in high-stakes
decision-making areas such as medical image analysis, has led to the emergence of …
decision-making areas such as medical image analysis, has led to the emergence of …
Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes
Vertebral fracture grading classifies the severity of vertebral fractures, which is a challenging
task in medical imaging and has recently attracted Deep Learning (DL) models. Only a few …
task in medical imaging and has recently attracted Deep Learning (DL) models. Only a few …