MOAB: Multi-Modal Outer Arithmetic Block for Fusion of Histopathological Images and Genetic Data for Brain Tumor Grading
Fusion models implemented in our paper 'MOAB: Multi-Modal Outer Arithmetic Block for Fusion of Histopathological Images and Genetic Data for Brain Tumor Grading'. Omnia Alwazzan, Abbas Khan, Ioannis Patras, Gregory Slabaugh, ISBI 2023
The paper has been accepted by The IEEE International Symposium on Biomedical Imaging (ISBI) and is available at this link. ArXiv link
All fusion models provided have been evaluated on the public dataset provided by Chen et al. We used the same 15-fold cross-validation scheme that is highlighted in our paper. Anything related to the dataset can be found in the original work conducted by Chen et al. Github page.
This repository provides all functional fusion methods that can be applied to any domain with any CNN
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- MOAB fusion model
- Outer Addition fusion model
- Concatination fusion model
- Dual branch fusion model
- Standard Addition fusion* model. (please refer to the paper to get the asterisk meaning)
To be updated...