Stryker Corporation

Kundan Krishna

Amit A Mahadik

Hannes Rau

Wenjing Li

Systems and methods for automatic detection of surgical specialty type and procedure type are disclosed. One or more classification networks may be applied to automatically process input surgical image data in order to recognize and determine a surgical specialty type and a surgical procedure type depicted in the input image data. Based on the determination made by the system, one or more output indications may be generated and one or more surgical devices may be automatically controlled, such as by being optimized for use during the surgical procedure type and/or surgical specialty type represented by the input image.

Systems and methods for automatic detection of surgical specialty type and procedure type

Systems, methods, and computer readable storage medium techniques for masking endoscopic images are disclosed. A system receives an input digital image and applies one or more denoising algorithms and one or more contour detection algorithms to detect a plurality of contours in the image. A contour having the largest area is identified. A smallest circular area enclosing the largest area contour is estimated, and a mask is applied to the image based on the circular area to generate a masked image.

Systems and methods for masking endoscopic images

Systems and methods for detecting, characterizing, and addressing surgical smoke are disclosed. In some embodiments, a surgical system receives image data representing an image of a surgical environment and generates sets of values based on the received image. The sets of values may include representations of atmospheric light in the image and representations of contrast values in the image. The system may determine from the sets of values whether predetermined smoke severity criteria are met, and may responsively automatically engage and/or disengage one or more surgical devices, such as a surgical smoke evacuation system and/or an image processing system (e.g., a video enhancement feature) configured to improve quality of smoky surgical images.

Growing community of inventors

Surrey, Canada

Kundan Krishna