Abstract: A method for automatic selection of display settings for a medical image is provided. The method includes receiving a medical image, mapping the medical image to an appearance classification cell of an appearance classification matrix using a trained deep neural network, selecting a first WW and a first WC for the medical image based on the appearance classification and a target appearance classification, adjusting the first WW and the first WC based on user preferences to produce a second WW and a second WC, and displaying the medical image with the second WW and the second WC via a display device.

Abstract: The current disclosure provides systems and methods for intelligent selection of display settings, including window-width (WW) and window-center (WC), for medical images, using deep neural networks. The current disclosure may enable automatic selection of display settings for a medical image, based on a deep neural network's appearance classification of the medical image. In one embodiment, the current disclosure provides a method comprising, receiving a medical image, mapping the medical image to an appearance classification cell of an appearance classification matrix using a trained deep neural network, selecting a first WW and a first WC for the medical image based on the appearance classification and a target appearance classification, adjusting the first WW and the first WC based on user preferences to produce a second WW and a second WC, and displaying the medical image with the second WW and the second WC via a display device.

Abstract: Methods and compositions are disclosed to quantitatively measure in vivo blood vessel diameter, blood velocity, and other flow dynamics. Such methods and compositions can optimize therapeutic interventions designed to prevent or reduce the risk of cardiovascular and blood disorders. In one aspect, the methods and apparatus involve calculating blood vessel characteristics from a two dimensional image of a blood vessel in the conjunctiva of a subject's eye. In another aspect, a series of temporal images of a blood vessel are obtained to determine blood flow properties. The apparatus can include, for example, a biomicroscope, an illuminating light source and a high speed camera to acquire the series of temporal images with the data then analyzed by a programmed processor.

Abstract: Methods and compositions are disclosed to quantitatively measure in vivo blood vessel diameter, blood velocity, and other flow dynamics. Such methods and compositions can optimize therapeutic interventions designed to prevent or reduce the risk of cardiovascular and blood disorders. In one aspect, the methods and apparatus involve calculating blood vessel characteristics from a two dimensional image of a blood vessel in the conjunctiva of a subject's eye. In another aspect, a series of temporal images of a blood vessel are obtained to determine blood flow properties. The apparatus can include, for example, a biomicroscope, an illuminating light source and a high speed camera to acquire the series of temporal images with the data then analyzed by a programmed processor.

Abstract: Methods and compositions are disclosed to quantitatively measure in vivo blood vessel diameter, blood velocity, and other flow dynamics. Such methods and compositions can optimize therapeutic interventions designed to prevent or reduce the risk of cardiovascular and blood disorders. In one aspect, the methods and apparatus involve calculating blood vessel characteristics from a two dimensional image of a blood vessel in the conjunctiva of a subject's eye. In another aspect, a series of temporal images of a blood vessel are obtained to determine blood flow properties. The apparatus can include, for example, a biomicroscope, an illuminating light source and a high speed camera to acquire the series of temporal images with the data then analyzed by a programmed processor.