Abstract: Systems for delivering one or more studies, where each of the one or more studies has a series of digital images associated with only one person and generated by an imaging modality, is disclosed. The systems include a syncing application that is configured to execute within a local area network and that is in data communication with imaging modalities and/or computing devices configured to display images generated by each of the imaging modalities. The systems also include a server adapted to be external to the local area network and in data communication with the syncing application and a client-side viewing application installed on one or more of the computing devices. The client-side viewing application is configured to acquire the studies, including unrendered data representative of the digital images of the series, locally render the unrendered data, and enable a user to manipulate the digital images.

Abstract: Systems for delivering one or more studies, where each of the one or more studies has a series of digital images associated with only one person and generated by an imaging modality, is disclosed. The systems include a syncing application that is configured to execute within a local area network and that is in data communication with imaging modalities and/or computing devices configured to display images generated by each of the imaging modalities. The systems also include a server adapted to be external to the local area network and in data communication with the syncing application and a client-side viewing application installed on one or more of the computing devices. The client-side viewing application is configured to acquire the studies, including unrendered data representative of the digital images of the series, locally render the unrendered data, and enable a user to manipulate the digital images.

Abstract: A system for electronically receiving, modifying and distributing three-dimensional medical images is disclosed.

Abstract: A method of training neural networks using digital images is disclosed. Each of the digital images is associated with an imaging modality, an anatomy of a person, a diagnosis of the person, an age of the person, a gender of the person, data indicative of contouring, an aggregated score, or a property of the anatomy of the person. In the method, a client side viewing application receives the digital images, receives a modification of one of the digital images, and transmits the modified digital image to a server. The server selects a neural network to train based on the digital image, trains the selected neural network, receives a request to apply one of the neural networks to another set of digital images, and selects a neural network to apply. The neural network is applied to the other set of digital images and generates a graphical, audio, alphanumeric text, or video result.

Abstract: Systems for delivering one or more studies, where each of the one or more studies has a series of digital images associated with only one person and generated by an imaging modality, is disclosed. The systems include a syncing application that is configured to execute within a local area network and that is in data communication with imaging modalities and/or computing devices configured to display images generated by each of the imaging modalities. The systems also include a server adapted to be external to the local area network and in data communication with the syncing application and a client-side viewing application installed on one or more of the computing devices. The client-side viewing application is configured to acquire the studies, including unrendered data representative of the digital images of the series, locally render the unrendered data, and enable a user to manipulate the digital images.

Abstract: A system and method for processing large image files using HTML 5 employed by Web Browsers for efficiently process multiple images from the same or different sets of images by one or more client-side users contemporaneously, where the system includes a file server for storing native, processed, or partially processed, image files and meta data associated with the image files, a Web Viewer Cache for dynamic storage of such files and meta data such, a plurality of dedicated Web Servers to perform some or all of the image processing functionality, and a load balancer server dedicated to interfacing with one or more Web Browsers from client-side computers to direct, distribute and manage image retrieval and processing by the dedicated Web Servers regardless of whether a pre-fetch image processing request or a real-time image processing request has been made by the client-side computer users.

Abstract: A method facilitates viewing of DICOM medical images by providing a 16-bit DICOM image on a computer readable storage medium, text-converted metadata of the DICOM image and an html-compatible conversion of the DICOM pixel data on a computer readable storage medium. Pixel data of the DICOM image is converted by dividing the 16-bit image into two 8-bit color channels stored in an image referenced by a web page using a uniform resource locator. The two 8-bit color channels are later reassembled within a portable web browser according to instructions set forth in computer readable program code associated with the web page.

Abstract: A system and method for processing large image files using HTML 5 employed by Web Browsers for efficiently process multiple images from the same or different sets of images by one or more client-side users contemporaneously, where the system includes a file server for storing native, processed, or partially processed, image files and meta data associated with the image files, a Web Viewer Cache for dynamic storage of such files and meta data such, a plurality of dedicated Web Servers to perform some or all of the image processing functionality, and a load balancer server dedicated to interfacing with one or more Web Browsers from client-side computers to direct, distribute and manage image retrieval and processing by the dedicated Web Servers regardless of whether a pre-fetch image processing request or a real-time image processing request has been made by the client-side computer users.