Self-supervised representation learning for surgical activity recognition.
Daniel PaysanLuis HaugMichael BajkaMarkus OelhafenJoachim M BuhmannPublished in: International journal of computer assisted radiology and surgery (2021)
Our work is an important first step in the direction of making efficient use of features obtained from deep representation learning for surgical activity recognition in settings where only a small fraction of the existing data is annotated by human domain experts and where those annotations are potentially incomplete.