eprintid: 10197895
rev_number: 10
eprint_status: archive
userid: 699
dir: disk0/10/19/78/95
datestamp: 2024-10-02 09:11:52
lastmod: 2024-10-02 09:11:52
status_changed: 2024-10-02 09:11:52
type: proceedings_section
metadata_visibility: show
sword_depositor: 699
creators_name: Khan, A
creators_name: Asad, M
creators_name: Benning, M
creators_name: Roney, C
creators_name: Slabaugh, G
title: Crop and Couple: Cardiac Image Segmentation Using Interlinked Specialist Networks
ispublished: pub
divisions: UCL
divisions: B04
divisions: F48
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
abstract: Diagnosis of cardiovascular disease using automated methods often relies on the critical task of cardiac image segmentation. We propose a novel strategy that performs segmentation using specialist networks that focus on a single anatomy (left ventricle, right ventricle, or myocardium). Given an input long-axis cardiac MR image, our method performs a ternary segmentation in the first stage to identify these anatomical regions, followed by cropping the original image to focus subsequent processing on the anatomical regions. The specialist networks are coupled through an attention mechanism that performs cross-attention to interlink features from different anatomies, serving as a soft relative shape prior. Central to our approach is an additive attention block (E-2A block), which is used throughout our architecture thanks to its efficiency. The source code is available at1.
date: 2024
date_type: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
official_url: http://dx.doi.org/10.1109/isbi56570.2024.10635217
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2322868
doi: 10.1109/ISBI56570.2024.10635217
isbn_13: 979-8-3503-1333-8
lyricists_name: Benning, Martin
lyricists_id: MBENN44
actors_name: Flynn, Bernadette
actors_id: BFFLY94
actors_role: owner
full_text_status: public
pres_type: paper
publication: Proceedings - International Symposium on Biomedical Imaging
pagerange: 1-5
event_title: 2024 IEEE International Symposium on Biomedical Imaging (ISBI)
event_location: Athens, Greece
event_dates: 27th-30th May 2024
book_title: Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI) 2024
citation:        Khan, A;    Asad, M;    Benning, M;    Roney, C;    Slabaugh, G;      (2024)    Crop and Couple: Cardiac Image Segmentation Using Interlinked Specialist Networks.                     In:  Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI) 2024.  (pp. pp. 1-5).  Institute of Electrical and Electronics Engineers (IEEE)       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10197895/1/2402.09156v1.pdf