Skip to content

Latest commit

 

History

History
20 lines (13 loc) · 1.11 KB

File metadata and controls

20 lines (13 loc) · 1.11 KB

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.

Authors


If you want to communicate with me then go to my Github Account and there is my Instagram's profile or send me an email to [email protected].

Spoken Languages 😊

  1. Spanish 🇪🇸
  2. English 🇺🇸
  3. French 🇫🇷