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
@article{arxiv.2208.04616,
title = {EfficientNet for Brain-Lesion classification},
author = {Quoc-Huy Trinh and Trong-Hieu Nguyen Mau and Radmir Zosimov and Minh-Van Nguyen},
journal= {arXiv preprint arXiv:2208.04616},
year = {2022}
}