System and method for multiclass classification of images using a programmable light source
Номер патента: EP3589182A1
Опубликовано: 08-01-2020
Автор(ы): Eden Rephaeli, Vidya Ganapati
Принадлежит: Verily Life Sciences LLC
Опубликовано: 08-01-2020
Автор(ы): Eden Rephaeli, Vidya Ganapati
Принадлежит: Verily Life Sciences LLC
Реферат: An apparatus, system and process for identifying one or more different tissue types are described. The method may include applying a configuration to one or more programmable light sources of an imaging system, where the configuration is obtained from a machine learning model trained to distinguish between the one or more different tissue types captured in image data. The method may also include illuminating a scene with the configured one or more programmable light sources, and capturing image data that includes one or more types of tissue depicted in the image data. Furthermore, the method may include analyzing color information in the captured image data with the machine learning model to identify at least one of the one or more different tissue types in the image data, and rendering a visualization of the scene from the captured image data that visually differentiates tissue types in the visualization.
Heterogeneous multi-core processing systems and data routing methods for high-throughput model predictive medical systems
Номер патента: US09706963B2. Автор: Ayan Banerjee,Sandeep Gupta. Владелец: Arizona State University ASU. Дата публикации: 2017-07-18.