Digital Image Analysis of Heterogeneous Tuberculosis Pulmonary Pathology in Non-Clinical Animal Models using Deep Convolutional Neural Networks
Asay B, Edwards B, Andrews J, Ramey M, Richard J, Podell B, Gutiérrez J, Frank C, Magunda F, Robertson G, Lyons M, Ben-Hur A, Lenaerts A. Digital Image Analysis of Heterogeneous Tuberculosis Pulmonary Pathology in Non-Clinical Animal Models using Deep Convolutional Neural Networks. Scientific Reports 2020, 10: 6047. PMID: 32269234, PMCID: PMC7142129, DOI: 10.1038/s41598-020-62960-6.Peer-Reviewed Original ResearchConceptsConvolutional neural networkNeural networkDeep convolutional neural networkHistopathological image analysisPulmonary pathologyTesting of novel therapiesAnimal modelsSemi-quantitative histopathology scoresImage recognitionUser limitationsNon-clinical animal modelsHistopathological imagesSeverity of diseaseTreatment of tuberculosisSoftware toolsTreatment cohortsNovel therapiesPulmonary tissueDisease progressionHistopathological analysisMouse modelPreclinical evaluationHistopathological scoresSuccessful treatmentPathological features