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

Author

PoÌˆllaÌˆnen, Irene ; Braithwaite, Billy ; Ikonen, Tiia ; Niska, Harri ; Haataja, Keijo ; Toivanen, Pekka ; Tolonen, Teemu

Author_Institution

Sch. of Comput., Univ. of Eastern Finland, Kuopio, Finland

fYear

2014

fDate

14-17 Oct. 2014

Firstpage

1

Lastpage

6

Abstract

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.

Keywords

cancer; image classification; medical diagnostic computing; medical image processing; DTOCS-based features; SW-3-4-DTOCS; SW-DTOCS; SW-WDTOCS; breast cancer pattern recognition scheme; computer-aided breast cancer histopathological diagnosis; distance transform on curved space-based features; Breast cancer; Medical diagnostic imaging; Pattern recognition; Transforms; Tumors; Computer-Aided Diagnosis Breast Cancer; Digital Histology; Distance Transform on Curved Space;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing Theory, Tools and Applications (IPTA), 2014 4th International Conference on

Conference_Location

Paris

Print_ISBN

978-1-4799-6462-8

Type

conf

DOI

10.1109/IPTA.2014.7001986

Filename

7001986