Table 2.

Performance comparison of the developed approach with state-of-the-art approaches on ImageCLEF-2012 dataset.

Approach	Description	Accuracy (%)
IBM multimedia analytics27	Data augmentation, visual features and SVM classification	69.60
Dimitrovski et al.28	Several visual and textual features and SVM classification	78.60
medGIFT31	Mixed type of hand crafted features	66.20
Present study
Hybrid feature set	Mixed hand-crafted features of SIFT, BOW, LBP, LTP, HOG, ECD, ECDWT and LDA classification	71.4
TLRN-LDA	ResNet50 transfer learning Deep features and LDA classification	87.91