EXplainable Artificial Intelligence (XAI) for MRI brain tumor …
We are interested in this survey to present an overview on the application of XAI in Deep Learning-based Magnetic Resonance Imaging (MRI) image analysis for Brain Tumor (BT) …
Explainable artificial intelligence (XAI) in deep learning-based ...
2022年7月1日 · In this survey, we aim to give a comprehensive overview of papers using XAI in medical image analysis. We chose to focus solely on papers that used deep learning-based …
Explainability of deep neural networks for MRI analysis of brain …
2022年4月23日 · NeuroXAI implements seven different gradient-based explanation methods, namely VG, GBP, IG, GIG, SmoothGrad, GCAM, and GGCAM, helping to make deep neural …
An XAI-enhanced efficientNetB0 framework for precision brain …
2024年10月1日 · In this study, we employed the EfficientNetB0 architecture and integrated explainable AI techniques to enhance both accuracy and interpretability. Grad-CAM …
Explaining explainability: The role of XAI in medical imaging
2024年2月15日 · In explainable AI (XAI), explanations can be local, detailing why a model made a specific decision, or global, revealing the model's overall logic and patterns across many …
XAI-MRI: an ensemble dual-modality approach for 3D brain …
2025年2月18日 · In this paper, we proposed a novel ensemble dual-modality approach for 3D brain tumor segmentation using MRI. Initially, individual U-Net models are trained and …
Recent Advances in Explainable Artificial Intelligence for Magnetic ...
2023年4月27日 · We conducted a quantitative analysis to investigate the reviewed MRI studies using AI and XAI techniques. We summarized the distributions of those pioneering works from …
Explainable AI in medical imaging: An overview for clinical ...
In this review, we identify key concepts and present an overview of established saliency-based (also called visual) XAI methods mined from diverse literature to provide end-users in the …
Explanation-Driven Deep Learning Model for Prediction of Brain …
Cancer research has seen explosive development exploring deep learning (DL) techniques for analysing magnetic resonance imaging (MRI) images for predicting brain tumours. We have …
XAI-MRI: an ensemble dual-modality approach for 3D brain …
2025年2月19日 · In this paper, we proposed a novel ensemble dual-modality approach for 3D brain tumor segmentation using MRI. Initially, individual U-Net models are trained and …