Title :
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
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;
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
DOI :
10.1109/BLISS.2009.34
