Output details
11 - Computer Science and Informatics
Imperial College London
Article title
Automated Abdominal Multi-Organ Segmentation With Subject-Specific Atlas Generation
Type
D - Journal article
Title of journal
IEEE Transactions on Medical Imaging
Article number
-
Volume number
32
Issue number
9
First page of article
1723
ISSN of journal
0278-0062
Year of publication
2013
URL
-
Number of additional authors
5
Additional information
<23>The paper proposes a new framework for robust automated segmentation of abdominal organs for computer aided diagnosis and laparoscopic surgery assistance. The paper is an extension of work first presented at MICCAI 2012 (oral presentation, 4% of 800 submissions). The conference paper also led to MICCAI Young Scientist Award to the first author. The work has contributed significantly to the award of £10M joint Wellcome/EPSRC IEH grant (PI: R. Razavi - to be announced) in which the developed technology will be used for the analysis of 20,000 ultrasound scans acquired during routine antenatal scans at St. Thomas Hospital.
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
-
