DS6

Official code of the paper "DS6, Deformation-aware Semi-supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data" (https://arxiv.org/abs/2006.10802) Recording of the live-stream of the talk at Stanford University: https://youtu.be/p1RrvlMMhOI

Docker container and pre-trained weights will soon be made available.

The name of this project "DS6" was selected as a tribute to Star Trek: Deep Space Nine (DS9). DS6 = Deformation-aware Segmentation, trained on 6 MR Volumes.

Credits

If you like this repository, please click on Star!

If you use this approach in your research or use codes from this repository, please cite the following in your publications:

Chatterjee S, Prabhu K, Pattadkal M, Bortsova G, Sarasaen C, Dubost F, Mattern H, de Bruijne M, Speck O, Nürnberger A. DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data. Journal of Imaging. 2022; 8(10):259.

BibTeX entry:

@Article{chatterjee2022ds6,
          AUTHOR = {Chatterjee, Soumick and Prabhu, Kartik and Pattadkal, Mahantesh and Bortsova, Gerda and Sarasaen, Chompunuch and Dubost, Florian and Mattern, Hendrik and de Bruijne, Marleen and Speck, Oliver and Nürnberger, Andreas},
          TITLE = {DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data},
          JOURNAL = {Journal of Imaging},
          VOLUME = {8},
          YEAR = {2022},
          NUMBER = {10},
          ARTICLE-NUMBER = {259},
          URL = {https://www.mdpi.com/2313-433X/8/10/259},
          ISSN = {2313-433X},
          DOI = {10.3390/jimaging8100259}
}

Thank you so much for your support.

soumickmj/DS6

DS6

Credits