2022
Self-Semantic Contour Adaptation for Cross Modality Brain Tumor Segmentation
Liu X, Xing F, Fakhri G, Woo J. Self-Semantic Contour Adaptation for Cross Modality Brain Tumor Segmentation. 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2022, 00: 1-5. PMID: 35990931, PMCID: PMC9387767, DOI: 10.1109/isbi52829.2022.9761629.Peer-Reviewed Original ResearchUnsupervised domain adaptationAdaptive networkLow-level edge informationCross-domain alignmentEnhance segmentation performanceMulti-task frameworkCross-modality segmentationSegmentation of brain tumorsAdversarial learningDomain adaptationSemantic segmentationEdge informationSemantic alignmentPrecursor taskSegmentation performanceSpatial informationNetworkSemantic adaptationMagnetic resonance imagingTaskContour adaptationBraTS2018InformationFrameworkAdaptation
2020
Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space
Yang J, Li X, Pak D, Dvornek N, Chapiro J, Lin M, Duncan J. Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space. Lecture Notes In Computer Science 2020, 12444: 52-61. DOI: 10.1007/978-3-030-60548-3_6.Peer-Reviewed Original ResearchSemantic alignmentDomain shiftContent spaceCross-modality medical image segmentationUnsupervised domain adaptation problemMedical image tasksMedical image segmentationDeep convolutional networksDomain adaptation problemAdversarial training strategyAdvantage of imagesQualitative experimental resultsDifferent modalitiesDeep networkPretext taskConvolutional networkSegmentation taskImage segmentationImage tasksSegmentation performanceArt performanceLiver segmentationModality alignmentGeneralization abilitySegmentation pipeline
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