Testing a convolutional neural network-based hippocampal segmentation method in a stroke population.
Sign Up to like & getrecommendations! Published in 2020 at "Human brain mapping"
DOI: 10.1002/hbm.25210
Abstract: As stroke mortality rates decrease, there has been a surge of effort to study poststroke dementia (PSD) to improve long-term quality of life for stroke survivors. Hippocampal volume may be an important neuroimaging biomarker in… read more here.
Keywords: hippocampal segmentation; segmentation; method; convolutional neural ... See more keywords
A comparison of accurate automatic hippocampal segmentation methods
Sign Up to like & getrecommendations! Published in 2017 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2017.04.018
Abstract: ABSTRACT The hippocampus is one of the first brain structures affected by Alzheimer's disease (AD). While many automatic methods for hippocampal segmentation exist, few studies have compared them on the same data. In this study,… read more here.
Keywords: hippocampal segmentation; segmentation; error correction; accurate automatic ... See more keywords