Decoding the black box: Explainable AI (XAI) for cancer diagnosis, prognosis, and treatment planning-A state-of-the art systematic review
Abstract Objective Explainable Artificial Intelligence (XAI) is increasingly recognized as a
crucial tool in cancer care, with significant potential to enhance diagnosis, prognosis, and …
crucial tool in cancer care, with significant potential to enhance diagnosis, prognosis, and …
Rad4XCNN: a new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics
F Prinzi, C Militello, C Zarcaro, TV Bartolotta… - arXiv preprint arXiv …, 2024 - arxiv.org
In the last years, artificial intelligence (AI) in clinical decision support systems (CDSS) played
a key role in harnessing machine learning and deep learning architectures. Despite their …
a key role in harnessing machine learning and deep learning architectures. Despite their …
Construction and Validation of a General Medical Image Dataset for Pretraining
R Zhang, C Pei, J Shi, S Wang - Journal of Imaging Informatics in Medicine, 2024 - Springer
In the field of deep learning for medical image analysis, training models from scratch are
often used and sometimes, transfer learning from pretrained parameters on ImageNet …
often used and sometimes, transfer learning from pretrained parameters on ImageNet …