Lena Maier-Hein

TL;DR: The SERV-CT dataset as discussed by the authors provides an easy to use stereoscopic validation for surgical applications with smooth reference disparities and depths with coverage over the majority of the endoscopic images and a range of tissue types.

TL;DR: An optical probe based system to combine sparse hyperspectral measurements and spectrally-encoded structured lighting (SL) for surface measurements and “super-spectral-resolution” was realized, whereby the RGB images and sparse Hyperspectral data were integrated to recover dense pixel-level hyperspectRAL stacks, by using convolutional neural networks to upscale the wavelength dimension.

TL;DR: The instrument was completed independently of each other and opinions about the ureteroscope were not discussed during the procedure, and internal consistency was assessed with Cronbach’s alpha and Pearson correlation coefficients were calculated to describe the linear relationship between items.