MMCL-Net: Spinal disease diagnosis in global mode using progressive multi-task joint learning
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DOI: 10.1016/j.neucom.2020.01.112
Abstract: Abstract Simultaneous detection, segmentation, and classification of multiple spinal structures on MRI is crucial for the early and pathogenesis-based diagnosis of multiple spine diseases in the clinical setting. It is more assistance for radiologists reflections… read more here.
Keywords: multi task; mmcl net; multi; task joint ... See more keywords
Single-Task Joint Learning Model for an Online Multi-Object Tracking Framework
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DOI: 10.3390/app142210540
Abstract: Multi-object tracking faces critical challenges, including occlusions, ID switches, and erroneous detection boxes, which significantly hinder tracking accuracy in complex environments. To address these issues, this study proposes a single-task joint learning (STJL) model integrated… read more here.
Keywords: object tracking; multi object; model; task joint ... See more keywords