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Implementation of the network X-NET of the paper "X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies" also in the Quaternion domain.

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2021 NN Final Project

Final project for the course of Neural Networks 2020/2021.

Student: Alessandro Lambertini Mat: 1938390;

Student: Denise Landini Mat: 1938388;

📝 Assignment

  1. Reimplement the network in the Paper Link 🔗 (Github page of the paper Link 🔗)
  2. Reimplement the same network but in the Quaternion domain.

💾 Dataset

📜 Report

  • presentation Link 🔗

  • report Link 🔗

    In these files you can read more about the code and the result of the project.

💯 Final score:

Score: 30L/30

🙋 Info

for any doubt or clarification contact me on:

🎞️ Snapshots


X-Net with FSM


random sample output from X-Net with FSM


random sample output from X-Net without FSM


Comparisons between different models

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Implementation of the network X-NET of the paper "X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies" also in the Quaternion domain.

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