2019
An open source automated tumor infiltrating lymphocyte algorithm for prognosis in melanoma
Acs B, Ahmed FS, Gupta S, Wong P, Gartrell RD, Sarin Pradhan J, Rizk EM, Gould Rothberg BE, Saenger YM, Rimm DL. An open source automated tumor infiltrating lymphocyte algorithm for prognosis in melanoma. Nature Communications 2019, 10: 5440. PMID: 31784511, PMCID: PMC6884485, DOI: 10.1038/s41467-019-13043-2.Peer-Reviewed Original ResearchConceptsOpen sourceOpen source softwareSource softwareTIL scoreTraining setDisease-specific overall survivalHigh TIL scorePoor prognosis cohortsSubset of patientsAlgorithmIndependent prognostic markerBroad adoptionAssessment of tumorOverall survivalFavorable prognosisMelanoma patientsMultivariable analysisValidation cohortIndependent associationPrognostic markerSeparate patientsPrognostic variablesIndependent cohortRetrospective collectionMelanoma
2007
Fine‐needle aspiration of follicular adenoma versus parathyroid adenoma
Mansoor I, Zalles C, Zahid F, Gossage K, Levenson RM, Rimm DL. Fine‐needle aspiration of follicular adenoma versus parathyroid adenoma. Cancer 2007, 114: 22-26. PMID: 18085636, DOI: 10.1002/cncr.23252.Peer-Reviewed Original ResearchConceptsArtificial intelligence systemsSpatial-spectral featuresSpectral image informationMultispectral image analysisIntelligence systemsImage informationAlgorithmic solutionTraining setImage stacksImaging solutionImage analysisTest casesHuman eyeImagesClassifierSoftwareToolPlatformSolutionTechnologyInformationSet