D T Kenny, E Chekaluk
Early reading performance: a comparison of teacher-based and test-based assessments
Journal of learning disabilities
current study used deep machine learning approach differentiate human blood specimens cow goat chicken blood stains based cell morphology total 1955 known giemsastained digitized images acquired blood humans cows goats chickens train deep learning models wellknown vgg16 resnet18 resnet34 algorithms used based image analysis confusion matrices generated findings showed f1 score chicken cow goat human classes equal 10 three algorithms matthews correlation coefficient mcc 1 chickens cows humans three algorithms mcc score 0989 goats resnet18 0994 resnet34 vgg16 algorithms three algorithms showed 100 sensitivity specificity positive negative predictive values human cow chicken cells goat cells data showed 100 sensitivity negative predictive values specificity positive predictive values ranging 985 996 data showed importance deep learning potential tool differentiation species origin fresh crime scene blood stains