The invention relates to medical image object detection with dense feature pyramid network architecture in machine learning. For object detection (56), deep learning (44) is applied with an architecture designed for low contrast objects, such as lymph nodes. The architecture uses a combination of dense deep learning or features, which employs feed-forward connections between convolutions layers (22), and a pyramidal arrangement of the dense deep learning using different resolutions.
MEDICAL IMAGE OBJECT DETECTION WITH DENSE FEATURE PYRAMID NETWORK ARCHITECTURE IN MACHINE LEARNING