Output details
11 - Computer Science and Informatics
Imperial College London
Article title
A General Framework for Context-Specific Image Segmentation Using Reinforcement Learning
Type
D - Journal article
Title of journal
IEEE Transactions on Medical Imaging
Article number
-
Volume number
32
Issue number
5
First page of article
943
ISSN of journal
0278-0062
Year of publication
2013
URL
-
Number of additional authors
4
Additional information
<26>IEEE TMI is one of the top journals in the field of medical image computing. While most of the latest research in medical image segmentation focuses on automatic approaches, the proposed technique uses a semi-automatic approach that provides the clinician with control over the delineation and hence is more likely to be approved for use clinically. The generality of the framework allows it to be applied to any medical image modality and any anatomy of interest.
Interdisciplinary
Yes
Cross-referral requested
-
Research group
C - Visual Information Processing
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
