Pre-trained 3D ResNet-101
Updated Thu, 06 May 2021 07:12:30 +0000
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.
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.
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
Inspired by: Deep Learning Toolbox Model for ResNet-101 Network, Deep Learning Network Analyzer for Neural Network Toolbox
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!Start Hunting!
Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.