EndoUDA: A modality independent segmentation approach for endoscopy imaging

no code implementations • 12 Jul 2021 • Numan Celik, Sharib Ali, Soumya Gupta, Barbara Braden, Jens Rittscher

While, today most segmentation approaches are supervised and only concentrated on a single modality dataset, this work exploits to use a target-independent unsupervised domain adaptation (UDA) technique that is capable to generalize to an unseen target modality.

Segmentation Unsupervised Domain Adaptation

Unsupervised Adversarial Domain Adaptation For Barrett's Segmentation

no code implementations • 9 Dec 2020 • Numan Celik, Soumya Gupta, Sharib Ali, Jens Rittscher

Our dataset consists of a total of 871 images consisting of both source and target domains.

Segmentation Unsupervised Domain Adaptation