Brain stroke classification and segmentation using encoder-decoder based deep convolutional neural networks

Author:

Yalçın SercanORCID,Vural Hüseyin

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference56 articles.

1. Artificial intelligence in stroke imaging: current and future perspectives;Yedavalli;Clin. Imag.,2021

2. Prospects for cardiovascular medicine using artificial intelligence;Kodera;J. Cardiol.,2021

3. Leveraging artificial intelligence in ischemic stroke imaging;Shafaat;J. Neuroradiol.,2021

4. Artificial intelligence and machine learning in precision medicine: a paradigm shift in big data analysis;Sahu;Prog. Mol. Biol. Transl. Sci.,2022

5. Artificial intelligence for large-vessel occlusion stroke: a systematic review;Shlobin;World Neurosurg.,2022

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1. Utilizing deep learning via the 3D U-net neural network for the delineation of brain stroke lesions in MRI image;Scientific Reports;2023-11-13

2. Segmentation of Hemorrhagic stroke in Brain MR Image;2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI);2023-10-19

3. Artificial intelligence in cerebral stroke images classification and segmentation: A comprehensive study;Multimedia Tools and Applications;2023-10-16

4. Deep Learning based Brain Stroke Detection using Improved VGGNet;WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE;2023-10-12

5. A robust ischemic stroke lesion segmentation technique using two-pathway 3D deep neural network in MR images;Multimedia Tools and Applications;2023-10-12

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