PDM: A Plug-and-Play Perturbed Multi-path Diffusion Module for Simultaneous Medical Image Segmentation Improvement and Uncertainty Estimation
Zhou B, Chen T, Hou J, Zhou Y, Xie H, Liu C, Duncan J. PDM: A Plug-and-Play Perturbed Multi-path Diffusion Module for Simultaneous Medical Image Segmentation Improvement and Uncertainty Estimation. Lecture Notes In Computer Science 2024, 15241: 259-268. DOI: 10.1007/978-3-031-73284-3_26.Peer-Reviewed Original ResearchEfficient plug-and-play moduleDenoising diffusion probabilistic modelPlug-and-play moduleDiffusion probabilistic modelState-of-the-artMedical image analysisDeep modelsSegmentation datasetUncertainty estimationSegmentation resultsImproved segmentationSegmentation modelMorphological operationsBinary segmentationSegmentation improvementProbabilistic modelUncertainty mapsDiffusion moduleReverse pathPerturbation segmentsSegmental inputsImage analysisSegmentsInputModulationCascaded multi-path shortcut diffusion model for medical image translation
Zhou Y, Chen T, Hou J, Xie H, Dvornek N, Zhou S, Wilson D, Duncan J, Liu C, Zhou B. Cascaded multi-path shortcut diffusion model for medical image translation. Medical Image Analysis 2024, 98: 103300. PMID: 39226710, DOI: 10.1016/j.media.2024.103300.Peer-Reviewed Original ResearchGenerative adversarial networkMedical image translationImage translationState-of-the-art methodsImage-to-image translationMedical image datasetsImage translation tasksImage-to-imageState-of-the-artMedical image processingHigh-quality translationsUncertainty estimationCascaded pipelineAdversarial networkImage datasetsSub-tasksTranslation qualityTranslation performanceTranslation tasksImage processingTranslation resultsDM methodPrior imageRobust performanceExperimental results