  In the development of technology, there are increasing cases of brain
disease, there are more treatments proposed and achieved a positive result.
However, with Brain-Lesion, the early diagnoses can improve the possibility for
successful treatment and can help patients recuperate better. From this reason,
Brain-Lesion is one of the controversial topics in medical images analysis
nowadays. With the improvement of the architecture, there is a variety of
methods that are proposed and achieve competitive scores. In this paper, we
proposed a technique that uses efficient-net for 3D images, especially the
Efficient-net B0 for Brain-Lesion classification task solution, and achieve the
competitive score. Moreover, we also proposed the method to use
Multiscale-EfficientNet to classify the slices of the MRI data
