ToNNO: Tomographic Reconstruction of a Neural Network's Output for
Weakly Supervised Segmentation of 3D Medical Images
ToNNO: Tomographic Reconstruction of a Neural Network's Output for
Weakly Supervised Segmentation of 3D Medical Images
Annotating lots of 3D medical images for training segmentation models is time-consuming. The goal of weakly supervised semantic segmentation is to train segmentation models without using any ground truth segmentation masks. Our work addresses the case where only image-level categorical labels, indicating the presence or absence of a particular region …