2025
EPIIC: Edge-Preserving Method Increasing Nuclei Clarity for Compression Artifacts Removal in Whole-Slide Histopathological Images
Merta J, Marczyk M. EPIIC: Edge-Preserving Method Increasing Nuclei Clarity for Compression Artifacts Removal in Whole-Slide Histopathological Images. Applied Sciences 2025, 15: 4450. DOI: 10.3390/app15084450.Peer-Reviewed Original ResearchEdge-preserving filtering methodCompression artifact removalCompression artifactsArtifact removalHistopathological imagesDeep learning-based solutionsCompression quality factorNatural image datasetsLearning-based solutionLossy compression methodsNuclei segmentation taskImage quality measuresFiltering methodImage qualityWhole-slide histopathology imagesJPEG algorithmPixel blocksNatural imagesSegmentation taskImage datasetsImage enhancementMap estimationNeural networkSegmentation resultsCompression method
2024
Evaluation of few-shot detection of head and neck anatomy in CT
Lee K, Cho J, Lee J, Xing F, Liu X, Bae H, Lee K, Hwang J, Park J, Fakhri G, Jee K, Woo J. Evaluation of few-shot detection of head and neck anatomy in CT. Progress In Biomedical Optics And Imaging 2024, 12927: 1292716-1292716-7. DOI: 10.1117/12.3006895.Peer-Reviewed Original ResearchFew-shot object detection methodMedical image dataFew-shot object detectionObject detection methodsObject detectionImage dataObject detection approachState-of-the-artFaster R-CNNFine-tuning stageDeep learning modelsDetection methodFew-shotDetection of anatomical structuresDownstream tasksNatural imagesR-CNNDetect objectsDetection headDetection approachPreprocessing stepDetect anatomical structuresLearning modelsExperimental resultsClinical workflow
2018
Common Object Representations for Visual Production and Recognition
Fan JE, Yamins DLK, Turk‐Browne N. Common Object Representations for Visual Production and Recognition. Cognitive Science 2018, 42: 2670-2698. PMID: 30125986, PMCID: PMC6497164, DOI: 10.1111/cogs.12676.Peer-Reviewed Original ResearchConceptsVisual object recognitionStudy of visionDeep convolutional neural network modelNatural imagesConvolutional neural network modelAbstract feature representationRecognizable drawingsHuman learningObject representationsVisual productionNeural network modelObject recognitionConceptual knowledgeVisual formVisual conceptsVisual cortexRecognition dataDeep networkFeature representationEnhanced recognitionAbstract featuresComprehensionHigher layersNetwork modelOnline platforms
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