10. A system for cloud-based feedback-driven image training and recognition, comprising: an image analytics pipeline configured to train and update one or more classification models from a set of expert annotations of a plurality of training images of a predetermined subject matter, to use the one or more classification models to classify newly received images of the predetermined subject matter, and receive expert classification result feedback regarding the clinical diagnosis for each image and a confidence score yielded by each classification model, wherein the expert classification result feedback comprises receiving a re-annotated classified image, wherein the classification model is retrained using the re-annotated classified image; an application middleware that provides a plurality of web services; a collection of worker processes for asynchronously executing tasks on the image analytics pipeline that are pooled, stateless execution routines that can be created and destroyed as needed; a priority job broker for queuing and distributing tasks from the application middleware to worker processes; and an extensible document and media storage platform configured to store results of the worker processes and the image analytics pipeline, wherein the system operates on public cloud service platforms, and supports a hybrid of public and private infrastructure.
11. The system of claim 10 , wherein the plurality of consumable web services includes an application programming interface (API).