Can I read Meta-learning for Healthcare on EtoBox?

Meta-learning for Healthcare by Lan Zou is a book available to read on EtoBox.

What is Meta-learning for Healthcare about?

This chapter starts from primary machine learning concepts and deals with cutting-edge meta-learning models in the context of diverse modalities of healthcare data, including medical imaging, electrocardiography, time-series data with nonuniform time intervals, multimodal data, facial imaging captured from a video camera, and others. This chapter investigates 15 interesting contributions to the field, all of which can be divided into three taxonomies according to their tasks to solve: medical imaging analysis (image classification, lesion classification, image segmentation, and image reconstruction), computing based on EHRs, and applications in emerging areas (cardiac and disease diagnosis). In-depth overviews are offered of studies per practice area: breast, chest, cardiac, tongue, abdominal, pulmonary, and dermatological. Finally, future direction and open questions of meta-learning for medical and healthcare applications are discussed.

Author

Lan Zou

Publisher

Elsevier Science & Technology

Published

2023

Language

EN

ISBN

9780323899314

Subjects

Science, Computer Science, Stem