SF-Net: A Multi-Task Model for Brain Tumor Segmentation in Multimodal MRI via Image Fusion
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3198594
Abstract: Automatic segmentation of brain tumor regions from multimodal MRI scans is of great clinical significance. In this letter, we propose a “Segmentation-Fusion” multi-task model named SF-Net for brain tumor segmentation. In comparison to the widely-used… read more here.
Keywords: task model; fusion; segmentation; model ... See more keywords
A neural network multi-task learning approach to biomedical named entity recognition
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DOI: 10.1186/s12859-017-1776-8
Abstract: BackgroundNamed Entity Recognition (NER) is a key task in biomedical text mining. Accurate NER systems require task-specific, manually-annotated datasets, which are expensive to develop and thus limited in size. Since such datasets contain related but… read more here.
Keywords: multi task; single task; task; task model ... See more keywords
The efficacy of a task model approach to ADL rehabilitation in stroke apraxia and action disorganisation syndrome: A randomised controlled trial
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DOI: 10.1371/journal.pone.0264678
Abstract: Background Apraxia and action disorganization syndrome (AADS) after stroke can disrupt activities of daily living (ADL). Occupational therapy has been effective in improving ADL performance, however, inclusion of multiple tasks means it is unclear which… read more here.
Keywords: task model; task; adl rehabilitation; tea ... See more keywords