Work

Machine Learning Applications in Medical Image Analysis

Year: 2017

Type: editorial

Source: Computational and Mathematical Methods in Medicine

DOI: 10.1155/2017/2361061

Authors: Ayman El-Baz, Georgy Gimel’farb, Kenji Suzuki

Institutions: University of Louisville, University of Auckland, University of Chicago

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $2,550

Funder: Japan Society for the Promotion of Science

Award: Radiation dose reduction in CT by improving the image quality of ultra low dose CT images by means of deep learning

OpenAlex ID: W2607313585

Cites:

Cited by: 19

Related to: 10