2020
Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images
Noorbakhsh J, Farahmand S, Foroughi pour A, Namburi S, Caruana D, Rimm D, Soltanieh-ha M, Zarringhalam K, Chuang JH. Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images. Nature Communications 2020, 11: 6367. PMID: 33311458, PMCID: PMC7733499, DOI: 10.1038/s41467-020-20030-5.Peer-Reviewed Original ResearchConceptsConvolutional neural networkWhole slide imagesPower of CNNsNormal convolutional neural networkImage data miningColon cancer imagesData miningCNN accuracyCancer imagesNeural networkHistopathological imagesManual inspectionSlide imagesData typesClassifier comparisonSignificant accuracyHistological imagesImage analysisSpatial similarityImagesClassifier pairsClassificationMutation classificationAccuracyMining
2006
Cruella: developing a scalable tissue microarray data management system.
Cowan JD, Rimm DL, Tuck DP. Cruella: developing a scalable tissue microarray data management system. Archives Of Pathology & Laboratory Medicine 2006, 130: 817-22. PMID: 16740033, DOI: 10.5858/2006-130-817-cdastm.Peer-Reviewed Original ResearchConceptsObject-relational database modelData elementsManagement systemMicroarray data storageMetadata-driven approachNew data modelData management systemDifferent data elementsJava ServletsPersistence layerDatabase schemaUser interactionDatabase modelWeb interfaceVocabulary standardsData modelCustom JavaData storageData typesDozens of researchersDynamic integrationAnalysis algorithmDifferent clinical investigatorsSpecial requirementsData System