Artificial Intelligence for Medical Image Analysis of NeuroImaging Data

732.3K

views

634

authors

20

articles

Editorial

21 May 2020

Editorial: Artificial Intelligence for Medical Image Analysis of Neuroimaging Data

Nianyin Zeng

,

Siyang Zuo

,

Guoyan Zheng

,

Yangming Ou

and

Tong Tong

3,446 views

10 citations

Editors

5

Shanghai Jiao Tong University

Yangming Ou

Harvard Medical School

Tong Tong

Fuzhou University

Impact

Fetching...

About

With the development of advanced medical imaging techniques, a huge amount of medical images have been produced in various healthcare institutes and hospitals. Especially, there is a growing research interest on a more multidisciplinary approach to investigate brain structure or function in living humans or animals. In order to better interpret brain images, there is an increasing demand to introduce artificial intelligence methods such as machine learning, expert systems, robotics and perception, and evolutionary computation to automatically exploit useful information besides visual features. It should be pointed out that brain images themselves exhibit several distinguishing features that add to the difficulties in their analysis. In recent years, there have been many new research achievements in each aspect of artificial intelligence for brain images analysis. This Research Topic seeks original contributions which address the challenges of artificial intelligence for brain images analysis and welcomes researchers in this field to share their experiences and new research achievements.

Topics of this collection include (but are not limited to) artificial intelligence methods with their applications in:
• Computer-aided detection/diagnosis
• Classification and analysis of anatomical structures, lesions and lesion subtypes/stages
• Biomedical image segmentation
• Multiple modality fusion
• Medical image reconstruction
• Pathology image analysis
• Neuro-degeneration
• Neuro-development
• Neurological disorders
• Treatment evaluation
• Multi-site studies

Artificial intelligence methods include (but are not limited to):
• Machine learning
• Expert systems
• Knowledge representation
• Robotics and perception
• Deep neural networks
• Reinforcement learning
• Evolutionary computation

Topic editor Tong Tong is employed by company Imperial Vision Technology. All other topic editors declare no competing interests with regards to the Research Topic subject. 

Download ebook

PDF

EPUB

Share

Editors

Shanghai Jiao Tong University

Yangming Ou

Harvard Medical School

Tong Tong

Fuzhou University

Impact

732,265 Total views

666,565 Article views

57,288 Article downloads

8,412 Topic views

Published In

Frontiers in Neuroscience

Neurodegeneration, Brain Imaging Methods

Frontiers in Neuroimaging

Brain Imaging Methods

Frontiers in Psychiatry

Neurodegeneration

Frontiers in Neurology

Neurodegeneration, Brain Imaging Methods

Frontiers in Computational Neuroscience

About Frontiers Research Topics

With their unique mixes of varied contributions from Original Research to Review Articles, Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author.

Suggest a topic