Abstract: Methods and systems are provided for inferring thickness and volume of one or more object classes of interest in two-dimensional (2D) medical images, using deep neural networks. In an exemplary embodiment, a thickness of an object class of interest may be inferred by acquiring a 2D medical image, extracting features from the 2D medical image, mapping the features to a segmentation mask for an object class of interest using a first convolutional neural network (CNN), mapping the features to a thickness mask for the object class of interest using a second CNN, wherein the thickness mask indicates a thickness of the object class of interest at each pixel of a plurality of pixels of the 2D medical image; and determining a volume of the object class of interest based on the thickness mask and the segmentation mask.

Abstract: A surgical instrument is provided for cutting bone and other tissue. The instrument includes a housing. A plurality of sensors is located in the housing in a spaced apart orientation from each other. A collar is moveably mounted to the housing into a plurality of different collar orientations on the housing. A lever comprising an actuator is moveably coupled to the collar and, with the collar located in any one of the plurality of different collar orientations, the lever is operable to move the actuator relative to one of the plurality of sensors in order to vary a signal produced by that sensor.

Abstract: A surgical instrument is provided for cutting bone and other tissue. The instrument includes a housing. A plurality of sensors is located in the housing in a spaced apart orientation from each other. A collar is moveably mounted to the housing into a plurality of different collar orientations on the housing. A lever comprising an actuator is moveably coupled to the collar and, with the collar located in any one of the plurality of different collar orientations, the lever is operable to move the actuator relative to one of the plurality of sensors in order to vary a signal produced by that sensor.

Abstract: A surgical instrument is provided for cutting bone and other tissue. The instrument includes a housing. A plurality of sensors are located in the housing in a spaced apart orientation from each other. A collar is moveably mounted to the housing into a plurality of different collar orientations on the housing. A lever comprising an actuator is moveably coupled to the collar and, with the collar located in any one of the plurality of different collar orientations, the lever is operable to move the actuator relative to one of the plurality of sensors in order to vary a signal produced by that sensor.

Abstract: A surgical instrument is provided for cutting bone and other tissue. The instrument includes a housing. A plurality of sensors are located in the housing in a spaced apart orientation from each other. A collar is moveably mounted to the housing into a plurality of different collar orientations on the housing. A lever comprising an actuator is moveably coupled to the collar and, with the collar located in any one of the plurality of different collar orientations, the lever is operable to move the actuator relative to one of the plurality of sensors in order to vary a signal produced by that sensor.