Automated Diagnosis of Otitis Media: Vocabulary and Grammar

Table 3

Classification accuracies (in %) on the ground-truth set of 181 tympanic membrane images. Each row corresponds to the class-wise classification accuracies and columns correspond to the diagnosis by three general pediatricians (GP) as well as the following algorithms: correlation filter classification system (CFC), WND-CHRM (WCM), multiresolution classifier (MRC), SIFT and shape descriptors with SVM classifier (SSC), random forest classifier (RF), our previous classifier from [27], and otitis media classifier (OMC).

	CFC	WCM	MRC	SSC	GP	RF	[27]	OMC
AOM	66.7	68.2	53.5	66.7	98.4	84.1	81.3	88.8
OME	57.1	60.8	66.3	81.0	80.0	81.4	85.7	82.6
NOE	62.5	63.4	75.1	60.0	54.2	66.6	81.4	85.4
Accuracy	61.8	64.1	64.1	70.2	79.6	80.1	84.0	85.6