Delineation of ischemic lesion from brain MRI using attention gated fully convolutional network-Reference-Cited by-同舟云学术

Delineation of ischemic lesion from brain MRI using attention gated fully convolutional network

Published:2020-11-05 Issue:1 Volume:11 Page:3-13
ISSN:2093-9868
Container-title:Biomedical Engineering Letters
language:en
Short-container-title:Biomed. Eng. Lett.

Author:

Karthik R.,Radhakrishnan Menaka,Rajalakshmi R.^ORCID,Raymann Joel

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s13534-020-00178-1.pdf

Reference32 articles.

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2. Karthik R, Menaka R. Computer-aided detection and characterization of stroke lesion—a short review on the current state-of-the art methods. Imaging Sci J. 2018;66(1):1–22.

3. Artzi M, Aizenstein O, Jonas-Kimchi T, Myers V, Hallevi H, Ben Bashat D. FLAIR lesion segmentation: application in patients with brain tumors and acute ischemic stroke. Eur J Radiol. 2013;82(9):1512–8.

4. Karthik R, Menaka R. A multi-scale approach for detection of ischemic stroke from brain MR images using discrete curvelet transformation. Measurement. 2017;100:223–32.

5. Karthik R, Menaka R. Statistical characterization of ischemic stroke lesions from MRI using discrete wavelet transformation. Trans Electr Eng Electron Commun. 2016;14(2):57–64.

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