EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

Surgical workflow recognition has numerous potential medical applications, such as the automatic indexing of surgical video databases and the optimization of real-time operating room scheduling, among others. As a result, surgical phase recognition has been studied in the context of several kinds of surgeries, such as cataract, neurological, and laparoscopic surgeries. In the literature, two types of features are typically used to perform this task: visual features and tool usage signals. However, the used visual features are mostly handcrafted. Furthermore, the tool usage signals are usually collected via a manual annotation process or by using additional equipment. In this paper, we propose a novel method…

• N
  Nvidia
• AN
  Agence Nationale de la Recherche

  Awards: ANR-10-IAHU-02, ANR-11-LABX-0004, ANR-10-IDEX-, ANR-10-IDEX-0002, ANR-10-IDEX, 10-IDEX-0002-02, ANR-10, ANR-10-IDEX-0002-02