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Deep 3D neural network for brain structures segmentation using self-attention modules in MRI images

The proposed method is oriented towards the 3D segmentation of 37 anatomical brain structures using deep learning techniques based on attention models. In this proposed architecture, we aim to explore the usage of Transformers for segmentation in small-size medical image datasets.

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Code for my master thesis

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