Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer

no code implementations • 5 May 2021 • Mohamed S. Elmahdy, Laurens Beljaards, Sahar Yousefi, Hessam Sokooti, Fons Verbeek, U. A. van der Heide, Marius Staring

In this paper, we formulate registration and segmentation as a joint problem via a Multi-Task Learning (MTL) setting, allowing these tasks to leverage their strengths and mitigate their weaknesses through the sharing of beneficial information.

Image Registration Medical Image Registration +1

Patient-Specific Finetuning of Deep Learning Models for Adaptive Radiotherapy in Prostate CT

no code implementations • 17 Feb 2020 • Mohamed S. Elmahdy, Tanuj Ahuja, U. A. van der Heide, Marius Staring

We investigate a transfer learning approach, fine-tuning the baseline CNN model to a specific patient, based on imaging acquired in earlier treatment fractions.

Transfer Learning