Reducing annotation burden in medical imaging with ADGNET: A semi-supervised deep learning strategy

Open Access

Peer-reviewed

Research Article

About the Authors

Xiaobo Yang

Roles Formal analysis, Methodology, Writing – original draft, Writing – review & editing

Affiliation Department of Information Science and Technology, Zhejiang Shuren University, Hangzhou, Zhejiang, P. R.China

The authors have declared that no competing interests exist.

Magnetic resonance imaging
Is the Subject Area "Magnetic resonance imaging" applicable to this article?

Thanks for your feedback.
Alzheimer's disease
Is the Subject Area "Alzheimer's disease" applicable to this article?

Thanks for your feedback.
Human learning
Is the Subject Area "Human learning" applicable to this article?

Thanks for your feedback.
Preprocessing
Is the Subject Area "Preprocessing" applicable to this article?

Thanks for your feedback.
Learning
Is the Subject Area "Learning" applicable to this article?

Thanks for your feedback.
Skeletal joints
Is the Subject Area "Skeletal joints" applicable to this article?

Thanks for your feedback.
Skull
Is the Subject Area "Skull" applicable to this article?

Thanks for your feedback.
Teachers
Is the Subject Area "Teachers" applicable to this article?

Thanks for your feedback.