Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2017.2721362
Abstract: Brain extraction or whole brain segmentation is an important first step in many of the neuroimage analysis pipelines. The accuracy and the robustness of brain extraction, therefore, are crucial for the accuracy of the entire… read more here.
Keywords: auto context; brain extraction; brain; geometry ... See more keywords
Efficient 2D and 3D Facade Segmentation Using Auto-Context
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2017.2696526
Abstract: This paper introduces a fast and efficient segmentation technique for 2D images and 3D point clouds of building facades. Facades of buildings are highly structured and consequently most methods that have been proposed for this… read more here.
Keywords: efficient facade; facade segmentation; segmentation; auto context ... See more keywords