Concurrent Ischemic Lesion Age Estimation and Segmentation of CT Brain Using a Transformer-Based Network-Reference-Cited by-同舟云学术

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Concurrent Ischemic Lesion Age Estimation and Segmentation of CT Brain Using a Transformer-Based Network

Published:2023-12 Issue:12 Volume:42 Page:3464-3473
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Marcus Adam¹^ORCID,Bentley Paul²^ORCID,Rueckert Daniel³^ORCID

Affiliation:

1. Department of Computing and the Division of Brain Sciences, Department of Medicine, Imperial College London, London, U.K

2. Department of Medicine, Division of Brain Sciences, Imperial College London, London, U.K

3. Department of Computing, Imperial College London, London, U.K

Funder

UK Research and Innovation: UKRI Center for Doctoral Training in AI for Healthcare

UK National Institute for Health Research i4i Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/10336247/10155239.pdf?arnumber=10155239

Reference62 articles.

1. Computed tomography-based quantification of lesion water uptake identifies patients within 4.5 hours of stroke onset: A multicenter observational study

2. Reliability of MRI-derived measurements of human cerebral cortical thickness: The effects of field strength, scanner upgrade and manufacturer

3. Lesion Age Imaging in Acute Stroke: Water Uptake in CT Versus DWI‐FLAIR Mismatch

4. Key challenges for delivering clinical impact with artificial intelligence

5. Convit: Improving vision transformers with soft convolutional inductive biases;d’ascoli;Proc Int Conf Mach Learn,2021

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