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EfficientNet for Brain-Lesion classification

arXiv 2208.04616 ↗First posted 9 Aug 2022eess.IV cs.CV cs.LGcited by 0

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Abstract (arXiv)

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

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References · 3

  1. 2021The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classificationcited by 518
  2. 2015Brain Tumor Segmentation with Deep Neural Networkscited by 137
  3. 2020Overlap Local-SGD: An Algorithmic Approach to Hide Communication Delays in Distributed SGDcited by 9

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