Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation
Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation
Traditionally, segmentation algorithms require dense annotations for training, demanding significant annotation efforts, particularly within the 3D medical imaging field. Scribble-supervised learning emerges as a possible solution to this challenge, promising a reduction in annotation efforts when creating large-scale datasets. Recently, a plethora of methods for optimized learning from scribbles have …