Diagnosis of breast masses from dynamic contrast-enhanced and diffusion-weighted MR: a machine learning approach.
<h4>Purpose</h4>Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is increasingly used for breast cancer diagnosis as supplementary to conventional imaging techniques. Combining of diffusion-weighted imaging (DWI) of morphology and kinetic features from DCE-MRI to improve th...
Saved in:
Main Authors: | Hongmin Cai, Yanxia Peng, Caiwen Ou, Minsheng Chen, Li Li |
---|---|
Format: | article |
Language: | EN |
Published: |
Public Library of Science (PLoS)
2014
|
Subjects: | |
Online Access: | https://doaj.org/article/b7e79f159f5e4a8390fce9a4bcdf7eb3 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Retraction Note to: Diffusion-weighted MR imaging of locally advanced breast carcinoma: the optimal time window of predicting the early response to neoadjuvant chemotherapy
by: Li Yuan, et al.
Published: (2021) -
The Potential Value of Texture Analysis Based on Dynamic Contrast-Enhanced MR Images in the Grading of Breast Phyllode Tumors
by: Xiaoguang Li, et al.
Published: (2021) -
MR scanner systems should be adequately characterized in diffusion-MRI of the breast.
by: Marco Giannelli, et al.
Published: (2014) -
Exploring the diagnostic potential of adding T2 dependence in diffusion-weighted MR imaging of the prostate.
by: Ingrid Framås Syversen, et al.
Published: (2021) -
A method for mapping and quantifying whole organ diffusion-weighted image distortion in MR imaging of the prostate
by: Andrew B. Gill, et al.
Published: (2017)