Deep learning based domain adaptation for mitochondria segmentation on EM volumes

1 code implementation • 22 Feb 2022 • Daniel Franco-Barranco, Julio Pastor-Tronch, Aitor Gonzalez-Marfil, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras

This is a problem known as domain adaptation, since models that learned from a sample distribution (or source domain) struggle to maintain their performance on samples extracted from a different distribution or target domain.

Self-Supervised Learning Style Transfer +1