Pre-trained 3D ResNet-101

Pre-trained Neural Network Toolbox Model for 3D ResNet-101 Network
322 download
Aggiornato 6 mag 2021

Visualizza la licenza

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.

Visualizza più stili
Compatibilità della release di MATLAB
Creato con R2020b
Compatibile con R2019b e release successive
Compatibilità della piattaforma
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Versione Pubblicato Note della release
1.0.1

The relevant paper is published.

1.0.0