Abstract: As a follow-up to the first IEEE Transactions on Medical Imaging (TMI) special issue on the theme of ... motivation for the development of network-based, data-driven, and learning-oriented ...

Abstract: In this paper, we propose a novel data augmentation method based on image enhancement. When training CNN models for image classification, it is required to prepare sufficient training data ...

A study reveals machine learning algorithms can predict compressive strength in concrete with waste glass powder, enhancing ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...