no code implementations • 19 Jun 2023 • Reza Kalantar, Sebastian Curcean, Jessica M Winfield, Gigin Lin, Christina Messiou, Matthew D Blackledge, Dow-Mu Koh
We employ a residual U-Net model as a baseline, and perform a series of architectural experiments to evaluate the tumor segmentation performance based on multiparametric input channels and feature encoding configurations.
1 code implementation • 16 Jul 2021 • Talha Qaiser, Stefan Winzeck, Theodore Barfoot, Tara Barwick, Simon J. Doran, Martin F. Kaiser, Linda Wedlake, Nina Tunariu, Dow-Mu Koh, Christina Messiou, Andrea Rockall, Ben Glocker
To aid radiological reading, we propose an auxiliary task-based multiple instance learning approach (ATMIL) for MM classification with the ability to localize sites of disease.