Output details
15 - General Engineering
University of the West of England, Bristol
Article title
Unsupervised sub-segmentation for pigmented skin lesions
Type
D - Journal article
Title of journal
Skin Research and Technology
Article number
-
Volume number
18
Issue number
1
First page of article
77
ISSN of journal
0909752X
Year of publication
2011
Number of additional authors
4
Additional information
This clinical study investigated a new segmentation strategy for improving skin cancer diagnostic accuracy, i.e. the classification accuracy has been increased from 60s% to 80s%. This new idea arose from the experience of collaborating clinicians and awarded recognition by the Faculty due to its quality.
Interdisciplinary
-
Cross-referral requested
-
Research group
1 - Centre for Machine Vision
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
