15. A non-transitory computer-readable medium containing computer-executable instructions that, when executed by a processor, cause the processor to perform a method for detecting an anatomical object in a non-training medical device image, the method 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.
15. A non-transitory computer-readable medium containing computer-executable instructions that, when executed by a processor, cause the processor to perform a method for detecting an anatomical object in a non-training medical device image, the method 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. 18. The non-transitory computer-readable medium of claim 15 , wherein the anatomical object is a pulmonary trunk.