Brain stroke detection from computed tomography images using deep learning algorithms

Author:

Diker Aykut,Elen Abdullah,Subasi Abdulhamit

Publisher

Elsevier

Reference31 articles.

1. Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model;Nishio;Comput. Methods Prog. Biomed.,2020

2. Towards effective classification of brain hemorrhagic and ischemic stroke using CNN;Gautam;Biomed. Signal. Process. Control.,2021

3. Decreased stroke applications during pandemic: collateral effects of covid-19;Altunışık;Turk. Noroloji Derg.,2021

4. Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks;Abramova;Comput. Med. Imaging Graph.,2021

5. İnme sonrası hasta ve Bakım verenlerin aile ilişkilerinin Değerlendirilmesi;Er;Celal Bayar Üniversitesi Sağlık Bilim. Enstitüsü Derg.,2019

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1. Brain Stroke Prediction from Computed Tomography Images Using Efficientnet-B0;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

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3. Analysis of AI Driven Brain Stroke Prediction Using Machine Learning and Deep Learning;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09

4. Brain Stroke Detection Through Advanced Machine Learning and Enhanced Algorithms;2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI);2024-04-17

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