A Novel Weakly Supervised Segmentation Approach for Rapid Left Ventricle Annotation

In the field of medical image segmentation, convolutional neural networks stand out as a successful method. However, in order to perform well, several labeled images are required. Manual pixel-level annotation of medical images requires the presence of a well-trained expert, is time-consuming, and is expensive. Weakly supervised learning approaches aim to address these challenges. In this work, we propose a novel weakly supervised segmentation …