Pre-trained 3D ResNet-101
Pre-trained Neural Network Toolbox Model for 3D ResNet-101 Network
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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.
Cita come
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.
Riconoscimenti
Ispirato da: Deep Learning Toolbox Model for ResNet-101 Network, Deep Learning Network Analyzer for Neural Network Toolbox
Informazioni generali
- Versione 1.0.1 (192 MB)
Compatibilità della release di MATLAB
- Compatibile con R2019b e release successive
Compatibilità della piattaforma
- Windows
- macOS
- Linux
