Explainable Deep Learning Methods in Medical Diagnosis: A Survey. (arXiv:2205.04766v1 [eess.IV])

Web: http://arxiv.org/abs/2205.04766

The remarkable success of deep learning has prompted interest in its
application to medical diagnosis. Even tough state-of-the-art deep learning
models have achieved human-level accuracy on the classification of different
types of medical data, these models are hardly adopted in clinical workflows,
mainly due to their lack of interpretability. The black-box-ness of deep
learning models has raised the need for devising strategies to explain the
decision process of these models, leading to the creation of the topic of
eXplainable Artificial …

arxiv deep deep learning diagnosis learning medical survey