Full metadata
Title
Open-Source Feature Selection Tool for Medical Imaging Diagnosis
Description
Open source image analytics and data mining software are widely available but can be overly-complicated and non-intuitive for medical physicians and researchers to use. The ASU-Mayo Clinic Imaging Informatics Lab has developed an in-house pipeline to process medical images, extract imaging features, and develop multi-parametric models to assist disease staging and diagnosis. The tools have been extensively used in a number of medical studies including brain tumor, breast cancer, liver cancer, Alzheimer's disease, and migraine. Recognizing the need from users in the medical field for a simplified interface and streamlined functionalities, this project aims to democratize this pipeline so that it is more readily available to health practitioners and third party developers.
Date Created
2016-12
Contributors
- Baer, Lisa Zhou (Author)
- Wu, Teresa (Thesis director)
- Wang, Yalin (Committee member)
- Computer Science and Engineering Program (Contributor)
- W. P. Carey School of Business (Contributor)
- Barrett, The Honors College (Contributor)
Topical Subject
Resource Type
Extent
30 pages
Language
Copyright Statement
In Copyright
Primary Member of
Series
Academic Year 2016-2017
Handle
https://hdl.handle.net/2286/R.I.42817
Level of coding
minimal
Cataloging Standards
System Created
- 2017-10-30 02:50:58
System Modified
- 2021-08-11 04:09:57
- 2 years 8 months ago
Additional Formats