UNet++ with Attention Mechanism for Hippocampus Segmentation-Reference-Cited by-同舟云学术

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UNet++ with Attention Mechanism for Hippocampus Segmentation

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computational Science and Computational Intelligence (CSCI)
language:
Short-container-title:

Author:

Cui Xueting¹,Liang Thony Yan¹,Aghili Marymossadat²,Adeyosoye Micheal¹,Cid Rosie E. Curiel³,Lowenstein David⁴,Duara Ranjan⁵,Adjouadi Malek¹

Affiliation:

1. Florida International University,Electrical and Computer Engineering,Miami,FL,USA

2. Microsoft,California,USA

3. University of Miami,Department of Neuropsychology,Miami,FL,USA

4. Center for Cognitive Neuroscience and Aging, University of Miami,Miami,FL,USA

5. Wien Center for Alzheimer's Disease and Memory Disorders, Mt Sinai Medical Center,Miami,FL,USA

Funder

National Science Foundation

National Institutes of Health - National Institute on Aging

1Florida Alzheimer's Disease Research Center

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10216364/10216365/10216690.pdf?arnumber=10216690

Reference11 articles.

1. Generalised dice over-lap as a deep learning loss function for highly unbalanced segmentations;sudre;CoRR,2017

2. Cbam: Convolutional block attention module;woo;Proceedings of the European Conference on Computer Vision (ECCV),0

3. A survey of loss functions for semantic segmentation

4. Utility of MRI in the identification of hippocampal sclerosis of aging

5. A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal magnetic resonance imaging data

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