Toward a HLAC-Based Histological Diagnosis System for Virtual-Slide Images

Author

Iwata, Kenji ; Satoh, Yutaka ; Kobayashi, Takumi ; Ueshiba, Toshio ; Sakaue, Katsuhiko ; Hasida, KÔiti ; Otsu, Nobuyuki ; Kameda, Yoichi ; Miyagi, Yohei ; Sakuma, Yuji ; Kikuchi, Keiji ; Tsuchiya, Eiju

Author_Institution

Nat. Inst. of Adv. Ind. Sci. & Technol., Tsukuba, Japan

fYear

2009

fDate

20-21 Aug. 2009

Firstpage

53

Lastpage

57

Abstract

We are developing an HLAC-based system to emulate pathologists´ skill for cancer diagnosis. The system very quickly processes virtual-slide images of tissues under high magnification, and automatically diagnoses cancer by anomaly detection based on HLAC and PCA. We have demonstrated the effectiveness of this system through experiments on actual cases of metastasized cancers in lymph nodes.

Keywords

cancer; medical image processing; principal component analysis; PCA; anomaly detection; cancer diagnosis; higher-order local autocorrelation; histological diagnosis system; lymph nodes; metastasized cancers; principal component analysis; virtual-slide images; Autocorrelation; Cancer detection; Image segmentation; Intelligent systems; Lymph nodes; Metastasis; Motion detection; Pattern recognition; Principal component analysis; Video sequences; HLAC; cancer detection; computer-aided diagnosis; pattern recognition; virtual silde;

fLanguage

English

Publisher

ieee

Conference_Titel

Bio-inspired Learning and Intelligent Systems for Security, 2009. BLISS '09. Symposium on

Conference_Location

Edinburgh

Print_ISBN

978-0-7695-3754-2

Type

conf

DOI

10.1109/BLISS.2009.34

Filename

5376845