POST-IVUS: A perceptual organisation-aware selective transformer framework for intravascular ultrasound segmentation

Author:

Huang XingruORCID,Bajaj ReteshORCID,Li Yilong,Ye Xin,Lin Ji,Pugliese Francesca,Ramasamy Anantharaman,Gu Yue,Wang YaqiORCID,Torii RyoORCID,Dijkstra JoukeORCID,Zhou Huiyu,Bourantas Christos V.,Zhang QianniORCID

Funder

British Heart Foundation

Rosetrees Trust

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference63 articles.

1. Recurrent residual convolutional neural network based on u-net (r2u-net) for medical image segmentation;Alom,2018

2. Segnet: A deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Trans. Pattern Anal. Mach. Intell.,2017

3. Advanced deep learning methodology for accurate, real-time segmentation of high-resolution intravascular ultrasound images;Bajaj;Int. J. Cardiol.,2021

4. Spatial anisotropic diffusion and local time correlation applied to segmentation of vessels in ultrasound image sequences;Balocco,2003

5. Standardized evaluation methodology and reference database for evaluating IVUS image segmentation;Balocco;Comput. Med. Imaging Graph.,2014

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