Pre-trained 3D ResNet-50
Pre-trained Neural Network Toolbox Model for 3D ResNet-50 Network
現在この提出コンテンツをフォロー中です。
- フォローしているコンテンツ フィードに更新が表示されます。
- コミュニケーション基本設定に応じて電子メールを受け取ることができます
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.
引用
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.
