Meta Learning with Medical Imaging and Health Informatics Applications Nguyen Hien Van
Meta Learning with Medical Imaging and Health Informatics Applications Nguyen Hien Van Meta-Learning, or learning to learn, has become increasingly popular in recent years. The meta-learning paradigm…
Specifikacia Meta Learning with Medical Imaging and Health Informatics Applications Nguyen Hien Van
Meta Learning with Medical Imaging and Health Informatics Applications Nguyen Hien Van
Meta-Learning, or learning to learn, has become increasingly popular in recent years. The meta-learning paradigm has great potential to address deep neural networks' fundamental challenges such as intensive data requirement, computationally expensive training, and limited capacity for transfer among tasks.This book provides a concise summary of Meta-Learning theories and their diverse applications in medical imaging and health informatics. Instead of building AI systems from scratch for each machine learning task, Meta-Learning constructs computational mechanisms to systematically and efficiently adapt to new tasks.
The book brings together thought leaders from both machine learning and health It covers the unifying theory of meta-learning and its popular variants such as model-agnostic learning, memory augmentation, prototypical networks, and learning to optimize.