Training 3D CNN models

Versión 1.0.0 (5,53 KB) por Amir Ebrahimi

This code can be used in conjunction with some 3D CNN models for classification.

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Use 'MRI_ADvsNC' to train a 3D CNN with your data. This code was originaly used for Alzheimer's disease detection using MRI for two classes. In the code, you can change the number of classes and the type of input data.

Some 3D CNN models can be found here:

3D ResNet-18: https://au.mathworks.com/matlabcentral/fileexchange/82585-pre-trained-3d-resnet-18?s_tid=prof_contriblnk

3D ResNet-50: https://au.mathworks.com/matlabcentral/fileexchange/87427-pre-trained-3d-resnet-50?s_tid=prof_contriblnk

3D ResNet-101: https://au.mathworks.com/matlabcentral/fileexchange/87432-pre-trained-3d-resnet-101?s_tid=prof_contriblnk

3D LeNet-5: https://au.mathworks.com/matlabcentral/fileexchange/87442-pre-trained-3d-lenet-5?s_tid=prof_contriblnk

Please cite the following paper if you find these models useful:

Citar como

Ebrahimi, Amir, et al. “Introducing Transfer Learning to 3D ResNet-18 for Alzheimer’s Disease Detection on MRI Images.” 2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ), IEEE, 2020, doi:10.1109/ivcnz51579.2020.9290616.

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Compatibilidad con la versión de MATLAB

Se creó con R2021a

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Inspirado por: Alzheimer’s Disease Detection using 3D ResNet-18 on MRI, Deep Learning: Transfer Learning in 10 lines of MATLAB Code, Deep Learning Tutorial Series, Deep Learning in 11 Lines of MATLAB Code

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classification3DAugmentationPipeline

MRI_ADvsNC.mlx

Versión	Publicado	Notas de la versión
1.0.0	10 ago 2021		Descargar

MLA	Ebrahimi, Amir, et al. “Introducing Transfer Learning to 3D ResNet-18 for Alzheimer’s Disease Detection on MRI Images.” 2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ), IEEE, 2020, doi:10.1109/ivcnz51579.2020.9290616.
APA	Ebrahimi, A., Luo, S., & Chiong, R. (2020). Introducing Transfer Learning to 3D ResNet-18 for Alzheimer’s Disease Detection on MRI Images. In 2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. Retrieved from https://doi.org/10.1109%2Fivcnz51579.2020.9290616
BibTeX	@inproceedings{Ebrahimi_2020, doi = {10.1109/ivcnz51579.2020.9290616}, url = {https://doi.org/10.1109%2Fivcnz51579.2020.9290616}, year = 2020, month = {nov}, publisher = {{IEEE}}, author = {Amir Ebrahimi and Suhuai Luo and Raymond Chiong}, title = {Introducing Transfer Learning to 3D {ResNet}-18 for Alzheimer's Disease Detection on {MRI} Images}, booktitle = {2020 35th International Conference on Image and Vision Computing New Zealand ({IVCNZ})} }