Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives

J Li, J Chen, Y Tang, C Wang, BA Landman… - Medical image …, 2023 - Elsevier
Transformer, one of the latest technological advances of deep learning, has gained
prevalence in natural language processing or computer vision. Since medical imaging bear …

Reinforcement learning algorithms: A brief survey

AK Shakya, G Pillai, S Chakrabarty - Expert Systems with Applications, 2023 - Elsevier
Reinforcement Learning (RL) is a machine learning (ML) technique to learn sequential
decision-making in complex problems. RL is inspired by trial-and-error based human/animal …

Challenges and opportunities in deep reinforcement learning with graph neural networks: A comprehensive review of algorithms and applications

S Munikoti, D Agarwal, L Das… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Deep reinforcement learning (DRL) has empowered a variety of artificial intelligence fields,
including pattern recognition, robotics, recommendation systems, and gaming. Similarly …