Computer-aided breast cancer histopathological diagnosis: Comparative analysis of three DTOCS-based features: SW-DTOCS, SW-WDTOCS and SW-3-4-DTOCS

In this paper, the performance of three Distance Transform on Curved Space-based features derived from digital H&E stained oncopathological images used in breast cancer pattern recognition scheme are compared. The three features utilized are SW-DTOCS, SW-WDTOCS and SW-3-4-DTOCS with three different sliding window (SW) sizes. The results imply that the three distance transform features yield slightly different classification performance. In addition, the issue of computer-aided breast cancer histopathological diagnosis is discussed.