grant

An ensemble deep learning model for tumor bud detection and risk stratification in colorectal carcinoma.

Organization OHIO STATE UNIVERSITYLocation Columbus, UNITED STATESPosted 1 Jul 2023Deadline 30 Jun 2028
NIHUS FederalResearch GrantFY2025AgreementAmericanAmerican Cancer SocietyBiologicalBreast CancerCancer CauseCancer EtiologyCancersCell AdhesionCell BodyCell NucleusCell PolarityCellsCellular AdhesionCervical CancerCervix CancerCessation of lifeClinicalClinical ManagementColon or RectumColorColorectalColorectal CancerColorectal CarcinomasCompensationComputer AssistedComputer Software ToolsComputer softwareComputer-Assisted Image AnalysisConsensusConsumptionCytokeratinDeathDecision MakingDetectionDiagnosticDiseaseDisease-Free SurvivalDisorderEducation ModuleEducational ModuleEpidermoid CarcinomaEsophageal CancerEsophagus CancerEvaluationEvent-Free SurvivalExclusionFutureGastric Body CancerGastric CancerGastric Cardia CancerGastric Fundus CancerGastric Pylorus CancerGeneral Prognostic FactorGuidelinesH and EHNSCCHead and Neck Squamous Cell CarcinomaHealthHematoxylin and EosinHematoxylin and Eosin Staining MethodHumanImageImage AnalysesImage AnalysisIncidenceInter-Observer VariabilityInter-Observer VariationInternationalInterobserver VariabilityInterobserver VariationsLarge Bowel CarcinomaLarge Intestine CarcinomaLearningLearning ModuleMalignant Breast NeoplasmMalignant Cervical NeoplasmMalignant Cervical TumorMalignant Esophageal NeoplasmMalignant Esophageal TumorMalignant Gastric NeoplasmMalignant Gastric TumorMalignant Neoplasm of the CervixMalignant NeoplasmsMalignant TumorMalignant Tumor of the CervixMalignant Tumor of the Cervix UteriMalignant Tumor of the EsophagusMalignant Uterine Cervix NeoplasmMalignant Uterine Cervix TumorMalignant neoplasm of cervix uteriMalignant neoplasm of esophagusManualsMathMathematicsMetastasisMetastasis to Lymph NodesMetastasizeMetastatic LesionMetastatic MassMetastatic NeoplasmMetastatic Neoplasm to Lymph NodesMetastatic TumorMetastatic Tumor to Lymph NodesMethodsMicrosatellite InstabilityMissionModalityModelingModern ManMorphologyNational Institutes of HealthNeoplasm MetastasisNucleusOutcomePathologicPathologistPathologyPathology ReportPatient CarePatient Care DeliveryPatient SelectionPatient outcomePatient-Centered OutcomesPatient-Focused OutcomesPatientsPerformancePlanocellular CarcinomaPlayPrevalencePrognostic FactorPrognostic/Survival FactorProgression-Free SurvivalsProtocolProtocols documentationPublic HealthQualifyingRecommendationRegional AnatomyReproducibilityResearchResearch SpecimenRoleSCCHNScientistSecondary NeoplasmSecondary TumorShapesSlideSoftwareSoftware ToolsSpecimenSquamous CarcinomaSquamous Cell EpitheliomaSquamous cell carcinomaStaining methodStainsStandardizationStatistical Data AnalysesStatistical Data AnalysisStatistical Data InterpretationStomach CancerSystemSystems AnalysesSystems AnalysisT-StageTeaching ModuleTechniquesTimeTrainingTumor CellTumor stageUnited StatesUnited States National Institutes of HealthUterine Cervix CancerVariantVariationVisualWomanWorkautomated assessmentautomated evaluationautomated image analysisbiologiccancer metastasiscancer riskcancer typecare for patientscare of patientscaring for patientscellular polaritychemotherapycohortcollegecollegiatecolon cancer patientscolorectal cancer patientscolorectal cancer riskcolorectal cancer therapycolorectal cancer treatmentcolorectumcomputer aidedcomputer aided detectioncomputer assisted detectionconferencecontent based retrievalconventiondeep learningdeep learning algorithmdeep learning based modeldeep learning methoddeep learning modeldeep learning strategydifferential geometrydisease riskdisorder riskepithelial to mesenchymal transitionexperiencegastric malignancyhead and neck squamous carcinomahead and neck squamous cell cancerimage evaluationimage interpretationimage registrationimagingimprovedimproved outcomeindividualized cancer therapyinnovateinnovationinnovativelife-time risklifetime risklymph node metastasismalignancymalignant breast tumormalignant stomach neoplasmmalignant stomach tumormenmortalityneoplasm/cancerneoplastic cellnew approachesnovelnovel approachesnovel strategiesnovel strategyoesophageal canceroutcome predictionpatient oriented outcomespatient stratificationpersonalized cancer therapypersonalized cancer treatmentquantitative imagingrisk stratificationsocial rolesoftware toolkitstatistical analysisstomach fundus cancerstomach pylorus cancerstratified patientstratify risksummitsymplectic geometrysymposiasymposiumtheoriestooltumortumor cell metastasiswhole slide imaging
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PROJECT ABSTRACT
Colorectal cancer (CRC) is the fourth most common cancer, and the second leading cause of cancer death in

the United States, with an estimated incidence of 151,030 new cases in 2022. According to the American Cancer

Society, the lifetime risk of developing colorectal cancer is 1 in 23 for men and 1 in 25 for women. Tumor budding…

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An ensemble deep learning model for tumor bud detection and risk stratification in colorectal carcinoma. — OHIO STATE UN | Dev Procure