Multi-Task Multi-Scale Learning For Outcome Prediction in 3D PET Images

no code implementations • 1 Mar 2022 • Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan

Conclusions: We show that, by using a multi-task learning approach, we can boost the performance of radiomic analysis by extracting rich information of intratumoral and peritumoral regions.

Inductive Bias Multi-Task Learning

Weakly Supervised PET Tumor Detection Using Class Response

no code implementations • 18 Mar 2020 • Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan

In this paper, we present a novel approach to locate different type of lesions in positron emission tomography (PET) images using only a class label at the image-level.

Weakly-supervised Learning