8. A method for detecting an anatomical object in a non-training medical device image, comprising: receiving a plurality of non-training medical device images produced by a medical imaging device, wherein the anatomical object has not yet been identified in the plurality of non-training medical device images when received; applying a non-training medical device image from the plurality of non-training medical device images to a classifier having a plurality of stages simultaneously, wherein a first stage of the plurality of stages and a second stage of the plurality of stages each includes a strong learner formed from a plurality of weak learners, and the weak learners in the second stage include a plurality of the weak learners included in the first stage; and identifying the non-training medical device image as being positive of showing the anatomical object based on the application the medical device image to the classifier.
8. A method for detecting an anatomical object in a non-training medical device image, comprising: receiving a plurality of non-training medical device images produced by a medical imaging device, wherein the anatomical object has not yet been identified in the plurality of non-training medical device images when received; applying a non-training medical device image from the plurality of non-training medical device images to a classifier having a plurality of stages simultaneously, wherein a first stage of the plurality of stages and a second stage of the plurality of stages each includes a strong learner formed from a plurality of weak learners, and the weak learners in the second stage include a plurality of the weak learners included in the first stage; and identifying the non-training medical device image as being positive of showing the anatomical object based on the application the medical device image to the classifier. 23. The method of claim 8 , wherein applying the non-training medical device image to the classifier comprises: applying the non-training medical device image to the strong learner of the first stage; determining whether the strong learner of the first stage classifies the non-training medical device image as being negative of showing the anatomical object; and in response to determining that the strong learner of the first stage classifies the non-training medical device image as being negative of showing the anatomical object: applying the non-training medical device image to the strong learner of the second stage; and determining whether the strong learner of the second stage classifies the non-training medical device image as being negative of showing the anatomical object.