… the nature of the model outcome. We address this in this paper by providing an end-to-end
explainable AI framework for analyzing breast cancer prediction models based on a publicly …

… To overcome this problem, explainable AI (XAI) has been … radiomic analysis for assessing
the risk of breast cancer in … in screening mammography: the end-to-end deep learning …

… scheme provides end-toend explainability for medical … breast cancer predictions and
diagnosis. Authors in [10] describe EXAI in healthcare in a multidisciplinary manner to analyze the …

… In the new era of Explainable Artificial Intelligence (XAI), … artificial intelligence detection
technology to analyze breast … which is a deep learning end-to-end model that perform well across …

… computational and traditional image analysis algorithms, we … An end-to-end breast lesion
classifier for WSIs that includes … of the user’s predictions of what the AI will do. For these …

… image analysis. CNN facilitates end-to-end learning through high capacity and flexible …
The studied graph explainer can (i) explain any prediction made with a pre-trained GNN, and (ii) …

… to breast cancer, prostate cancer, lung cancer, brain cancer, … They implement an end-to-end
system that automatically … H Explainable AI for medical imaging: Deep-learning CNN …

… existing toolkits for analyzing the explainability and the … concerning to explainability of the
prediction model in the … analysis of intermediate semantic constructs via end-to-end instruction. …

… Additionally, the study utilizes explainable AI techniques, … An end-to-end training technique
with a DL-based algorithm to … of breast cancer, leading to a better prognosis for the condition. …

… learning approaches developed for breast cancer diagnosis, and … (SNR) analysis as well as
model refitting and comparison … End-to-end dementia status prediction from brain MRI using …