1. A system for detecting an anatomical object in a non-training medical device image, comprising: at least one hardware processor that: receives 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; applies 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 identifies 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.
1. A system for detecting an anatomical object in a non-training medical device image, comprising: at least one hardware processor that: receives 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; applies 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 identifies 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. 7. The system of claim 1 , wherein the medical device image is a computed tomography pulmonary angiography image.