Pre-trained 3D ResNet-50

Pre-trained Neural Network Toolbox Model for 3D ResNet-50 Network
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Aktualisiert 6. Mai 2021

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To transfer the learnable parameters from pre-trained 2D ResNet-50 (ImageNet) to 3D one, we duplicated 2D filters (copying them repeatedly) through the third dimension. This is possible since a video or a 3D image can be converted into a sequence of image slices. In the training process, we expect that the 3D ResNet-50 learns patterns in each frame. This model has 48 million learnable parameters.

simply, call "resnet50TL3Dfun()" function.

Zitieren als

Ebrahimi, Amir, et al. “Convolutional Neural Networks for Alzheimer’s Disease Detection on MRI Images.” Journal of Medical Imaging, vol. 8, no. 02, SPIE-Intl Soc Optical Eng, Apr. 2021, doi:10.1117/1.jmi.8.2.024503.

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Kompatibilität der MATLAB-Version
Erstellt mit R2020b
Kompatibel mit R2019b und späteren Versionen
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Version Veröffentlicht Versionshinweise
1.0.1

The relevant paper is published.

1.0.0