2022
Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities
Merkaj S, Bahar RC, Zeevi T, Lin M, Ikuta I, Bousabarah K, Petersen G, Staib L, Payabvash S, Mongan JT, Cha S, Aboian MS. Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities. Cancers 2022, 14: 2623. PMID: 35681603, PMCID: PMC9179416, DOI: 10.3390/cancers14112623.Peer-Reviewed Original ResearchMachine learning toolsGrade predictionLearning toolsML applicationsClassifier algorithmML modelsClassification methodMedical imagingData sourcesPractices of radiologistsToolGlioma gradingNext stepWorkflowAlgorithmChallengesTechnological innovationImplementationPredictionModelLast decadeSpecific areas
1990
Medical image analysis using model-based optimization
Duncan J, Staib L, Birkholzer T, Owen R, Anandan P, Bozma I. Medical image analysis using model-based optimization. 1990, 370-377. DOI: 10.1109/vbc.1990.109344.Peer-Reviewed Original ResearchMedical image analysisObject recognition problemOutlines of objectsModel-based optimizationRecognition problemExtracting featuresSegmented objectsOptimization theoryMathematical modelMedical imagingObject shapeUnifying approachAnalysis problemImage analysisThird exampleQuantitative descriptionObjectsMovement propertiesProblemSegmentationAnalysis methodPurpose of diagnosisOptimizationExampleMotion