Automatic Feature Extraction from Breast Tumor Images Using Artificial Organisms

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

2 Scopus Citations
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Author(s)

  • Hironori Okii
  • Takashi Uozumi
  • Koichi Ono
  • Hong Yan

Detail(s)

Original languageEnglish
Pages (from-to)964-975
Journal / PublicationIEICE Transactions on Information and Systems
VolumeE86-D
Issue number5
Publication statusPublished - May 2003
Externally publishedYes

Abstract

In this paper, we propose a new computer-aided diagnosis system which can extract specific features from hematoxylin and eosin (HE)-stained breast tumor images and evaluate the type of tumor using artificial organisms. The gene of the artificial organisms is defined by three kinds of texture features, which can evaluate the specific features of the tumor region in the image. The artificial organisms move around in the image and investigate their environmental conditions during the searching process. When the target pixel is regarded as a tumor region, the organism obtains energy and produces offspring; organisms in other regions lose energy and die. The searching process is iterated until the 30th generation; as a result, tumor regions are filled with artificial organisms. Whether the detected tumor is benign or malignant is evaluated based on the combination of selected genes. The method developed was applied to 27 test cases and the distinction between benign and malignant tumors by the artificial organisms was successful in about 90% of tumor images. In this diagnosis support system, the combination of genes, which represents specific features of detected tumor region, is selected automatically for each tumor image during the searching process.

Research Area(s)

  • Adaptive searching, Artificial life, Breast cancer, Histological image, Medical image diagnosis

Citation Format(s)

Automatic Feature Extraction from Breast Tumor Images Using Artificial Organisms. / Okii, Hironori; Uozumi, Takashi; Ono, Koichi; Yan, Hong.

In: IEICE Transactions on Information and Systems, Vol. E86-D, No. 5, 05.2003, p. 964-975.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal