- ResNet (Residual Network) Classifier Model – To confirm the possibility of a brain tumor.
- ResUNet Segmentation Model – To detect the exact location of the tumor.
The methodology of Transfer Learning is applied to re-train these Models in order to perform the classification and localization of tumors through the Brain MRI scans. Transfer Learning is used since starting from a pretrained model can drastically reduce the computational time required if the training is performed from scratch.
https://www.kaggle.com/mateuszbuda/lgg-mri-segmentation