ME‐Net: Multi‐encoder net framework for brain tumor segmentation
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22571
Abstract: MRI plays a vital role to evaluate brain tumor diagnosis and treatment planning. However, the manual segmentation of the MRI image is strenuous. With the development of deep learning, a large number of automatic segmentation… read more here.
Keywords: segmentation; tumor segmentation; net multi; brain tumor ... See more keywords
White matter hyperintensities segmentation using the ensemble U-Net with multi-scale highlighting foregrounds
Sign Up to like & getrecommendations! Published in 2021 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2021.118140
Abstract: White matter hyperintensities (WMHs) are abnormal signals within the white matter region on the human brain MRI and have been associated with aging processes, cognitive decline, and dementia. In the current study, we proposed a… read more here.
Keywords: scale highlighting; matter; net multi; multi scale ... See more keywords
LA-Net: A Multi-Task Deep Network for the Segmentation of the Left Atrium
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2021.3117495
Abstract: Although atrial fibrillation (AF) is the most common sustained atrial arrhythmia, treatment success for this condition remains suboptimal. Information from magnetic resonance imaging (MRI) has the potential to improve treatment efficacy, but there are currently… read more here.
Keywords: multi task; net multi; network; segmentation ... See more keywords