SymTC: A symbiotic Transformer-CNN net for instance segmentation of lumbar spine MRI
Chen J, Qian L, Ma L, Urakov T, Gu W, Liang L. SymTC: A symbiotic Transformer-CNN net for instance segmentation of lumbar spine MRI. Computers In Biology And Medicine 2024, 179: 108795. PMID: 38955128, DOI: 10.1016/j.compbiomed.2024.108795.Peer-Reviewed Original ResearchConvolutional neural networkDeep neural networksImage segmentation modelNeural networkSegmentation modelConvolutional neural network layersSelf-attention moduleEfficient image segmentationIn-house datasetModule of TransformerMR image datasetsHigher Dice scoresImage datasetsImage segmentationTransformation layerAccurate segmentationPersistent low back painDice scoreIndividual instancesAutomated wayLumbar spine MRILow back painDatasetHausdorff distanceLumbar MR imagesA sequential geometry-reconstruction-based deep learning approach to improve accuracy and consistence of lumbar spine MRI image segmentation
Qian L, Chen J, Ma L, Urakov T, Liang L. A sequential geometry-reconstruction-based deep learning approach to improve accuracy and consistence of lumbar spine MRI image segmentation. Progress In Biomedical Optics And Imaging 2024, 12926: 1292634-1292634-8. DOI: 10.1117/12.3007064.Peer-Reviewed Original ResearchDeep learning approachImage segmentationLearning approachMedical image segmentationSelf-attention mechanismAccurate semantic segmentationImage feature extractionMRI image segmentationPosition embeddingsSemantic segmentationSwin-UnetFeature extractionErroneous fragmentsSpine MRI imagesShape representationNeural networkSegmentation resultsTexture similaritySegmentation modelAttention UNetMRI imagesGeometry reconstructionInternal informationIrrelevant informationImage features