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. Author manuscript; available in PMC: 2017 Jan 31.
Published in final edited form as: Neurocomputing (Amst). 2016 Feb 17;191:214–223. doi: 10.1016/j.neucom.2016.01.034

Fig. 4.

Fig. 4

The probability maps rendered by the different DCNN based approaches (Columns 3 and 4) and [19] (in Column 2) for classifying EP ((a)–(e) in the left block, Column 1) and ST ((f)–(k) in the right block, Column 1) patches on D2. The false-color (defined by the heat map (l)) of sub-images in Columns 2–4 reflect the confidence score in predicting them as EP/ST regions via Linda [19], DCNN+SVM, and DCNN+SMC, respectively. The various colors in the heat map (l) correspond to the predicted confidence scores (red=EP with 100% likelihood and blue=ST with 100% likelihood). (For interpretation of the references to color in this figure caption, the reader is referred to the web version of this paper.)