Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs
Sign Up to like & getrecommendations! Published in 2019 at "European Radiology"
DOI: 10.1007/s00330-019-06441-z
Abstract: Objectives Computed tomography (CT) and magnetic resonance imaging (MRI) are the most commonly selected methods for imaging gliomas. Clinically, radiotherapists always delineate the CT glioma region with reference to multi-modal MR image information. On this… read more here.
Keywords: multi sequence; postoperative glioma; segmentation; guided multi ... See more keywords
Dual-guided multi-modal bias removal strategy for temporal sentence grounding in video
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DOI: 10.1007/s00530-024-01587-3
Abstract: Temporal sentence grounding in video aims to locate target video segments related to the input textual query within a given video, which is severely affected by the biases, leading to a significant decrease in the… read more here.
Keywords: video; modal bias; guided multi; multi modal ... See more keywords
EdgeUNet: Edge-Guided Multi-Loss Network for Drivable Area and Lane Segmentation in Autonomous Vehicles
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DOI: 10.1109/tits.2024.3492383
Abstract: The perception system is a critical element of autonomous driving, where real-time and accurate segmentation of drivable areas and lanes is essential for intelligent decision-making during vehicle operation. Current approaches primarily focus on minimizing background… read more here.
Keywords: edge; segmentation; guided multi; edge guided ... See more keywords