TY  - GEN
TI  - Crop and Couple: Cardiac Image Segmentation Using Interlinked Specialist Networks
UR  - http://dx.doi.org/10.1109/isbi56570.2024.10635217
SP  - 1
PB  - Institute of Electrical and Electronics Engineers (IEEE)
A1  - Khan, A
A1  - Asad, M
A1  - Benning, M
A1  - Roney, C
A1  - Slabaugh, G
Y1  - 2024///
N2  - 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.
EP  - 5
AV  - public
ID  - discovery10197895
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
ER  -