Pre-trained 3D ResNet-101

Pre-trained Neural Network Toolbox Model for 3D ResNet-101 Network
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Actualizado 6 may 2021

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To transfer the learnable parameters from pre-trained 2D ResNet-101 (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-101 learns patterns in each frame. This model has 87 million learnable parameters.

simply, call "resnet101TL3Dfunction()" function.

Citar como

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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Compatibilidad con la versión de MATLAB
Se creó con R2020b
Compatible con cualquier versión desde R2019b
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Versión Publicado Notas de la versión
1.0.1

The relevant paper is published.

1.0.0