A Survey on Explainable Artificial Intelligence (XAI) Techniques for Visualizing Deep Learning Models in Medical Imaging DOI Open Access
Deepshikha Bhati, Fnu Neha, Md Amiruzzaman

и другие.

Опубликована: Авг. 12, 2024

The combination of medical imaging and deep learning has significantly improved diagnostic prognostic capabilities in the healthcare domain. Nevertheless, inherent complexity models poses challenges understanding their decision-making processes. Interpretability visualization techniques have emerged as crucial tools to unravel black-box nature these models, providing insights into inner workings enhancing trust predictions. This survey paper comprehensively examines various interpretation applied imaging. reviews methodologies, discusses applications, evaluates effectiveness interpretability, reliability, clinical relevance image analysis.

Язык: Английский

A Survey on Explainable Artificial Intelligence (XAI) Techniques for Visualizing Deep Learning Models in Medical Imaging DOI Open Access
Deepshikha Bhati, Fnu Neha, Md Amiruzzaman

и другие.

Опубликована: Авг. 12, 2024

The combination of medical imaging and deep learning has significantly improved diagnostic prognostic capabilities in the healthcare domain. Nevertheless, inherent complexity models poses challenges understanding their decision-making processes. Interpretability visualization techniques have emerged as crucial tools to unravel black-box nature these models, providing insights into inner workings enhancing trust predictions. This survey paper comprehensively examines various interpretation applied imaging. reviews methodologies, discusses applications, evaluates effectiveness interpretability, reliability, clinical relevance image analysis.

Язык: Английский

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