As the title suggests, this paper studies various different deep convolutional neural network architectures and various techniques to use these CNNs for CADe (Computer Aided Detection) tasks. With the ...

Tests across four open datasets showed ENDNet outperforms existing models, achieving up to 99.1% accuracy on the COX2 dataset, a significant jump from 91.6% with previous methods.