Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need. (arXiv:2206.11804v1 [cs.CV])

Web: http://arxiv.org/abs/2206.11804

Data diversity and volume are crucial to the success of training deep
learning models, while in the medical imaging field, the difficulty and cost of
data collection and annotation are especially huge. Specifically in robotic
surgery, data scarcity and imbalance have heavily affected the model accuracy
and limited the design and deployment of deep learning-based surgical
applications such as surgical instrument segmentation. Considering this, in
this paper, we rethink the surgical instrument segmentation task and propose a
one-to-many data generation …

arxiv cv image segmentation