Efficient U-Net CNN with Data Augmentation for MRI Ischemic Stroke Brain Segmentation-Reference-Cited by-同舟云学术

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Efficient U-Net CNN with Data Augmentation for MRI Ischemic Stroke Brain Segmentation

Published:2022-05-17 Issue: Volume: Page:
ISSN:
Container-title:2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)
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Author:

Aboudi Fathia¹,Drissi Cyrine²,Kraiem Tarek¹

Affiliation:

1. High Institute of Medical Technology in Tunisia (ISTMT), UTM,LRBTM Research Laboratory of Biophysics and Medical Technology,Tunis,Tunisia

2. Mongi Ben Hmida National Institute of Neurology, Tunis El Manar University,Department of Neuroradiology,Tunis,Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9803856/9803880/09804030.pdf?arnumber=9804030

Reference12 articles.

1. Cognitive determinants of social functioning after a first ever mild to moderate stroke at vocational age

2. Brain ischemic stroke segmentation: a survey;gupta;Journal of Multi-Disciplinary Engineering Technologies,2014

3. A deep symmetry convnet for stroke lesion segmentation

4. Automatic Detection of Ischemic Stroke Lesion from Multimodal MR Image

5. Automatic Segmentation of Acute Ischemic Stroke From DWI Using 3-D Fully Convolutional DenseNets

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1. Enhanced Ischemic Stroke Lesion Segmentation in MRI Using Attention U-Net with Generalized Dice Focal Loss;Applied Sciences;2024-09-11

2. Classification of brain strokes using divergence-based convolutional neural networks;Biomedical Signal Processing and Control;2024-07

3. A high resolution and configurable 1T1R1C ReRAM macro for medical semantic segmentation;IEICE Electronics Express;2024-04-25

4. A high resolution and configurable 1T1R1C ReRAM Macro for Medical Semantic Segmentation;IEICE ELECTRON EXPR;2024

5. MD-TransUNet: TransUNet with Multi-attention and Dilated Convolution for Brain Stroke Lesion Segmentation;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

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