Jul 1, 2020 · M3d-CAM is an easy to use library for generating attention maps of CNN-based PyTorch models improving the interpretability of model predictions for humans.

M3d-CAM is an easy to use PyTorch library that allows the generation of 3D/ 2D attention maps for both classification and segmentation with multiple methods.

Only a single line of code is sufficient for generating atten- tion maps for a model, making M3d-CAM a plug-and-play solution that requires minimal previous ...

Jun 25, 2021 · Deep learning models achieve state-of-the-art results in a wide array of medical imaging ...
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Posted: Jun 25, 2021

M3d-CAM is an easy to use library for generating attention maps of CNN-based PyTorch models improving the interpretability of model predictions for humans.

M3d-CAM is an easy to use library for generating attention maps of CNN-based PyTorch models improving the interpretability of model predictions for humans. The ...

M3d-CAM is an easy to use library for generating attention maps of CNN-based PyTorch models improving the interpretability of model predictions for humans.

Feb 27, 2021 · We present M3d-CAM, an easy easy to use library for generating attention maps of CNN-based PyTorch models for both 2D and 3D data, and ...

We present M3d-CAM, an easy easy to use library for generating attention maps of CNN-based PyTorch models for both 2D and 3D data, and ap- plicable to both ...

Jul 1, 2020 · M3d-CAM is an easy to use library for generating attention maps with any CNN-based Pytorch [1] model both for. 2D and 3D data as well as with ...