Deep learning based domain adaptation for mitochondria segmentation on EM volumes
This repository contains the code to reproduce the methods described in the publication entitled "Deep learning based domain adaptation for mitochondria segmentation on EM volumes".
The code and detailed instructions of the four different implemented strategies are available in the following links:
- Style-transfer based domain adaptation.
- Self-supervised learning (SSL) based domain adpation.
- DAMT-Net.
- Attention_Y-Net.
Qualitative results of all methods are summarized in the next figure:
Datasets
The EM datasets used are available here:
Citation
This repository is the base of the following work:
(TODO)