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

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12 Author(s)
Iwata, K. ; Nat. Inst. of Adv. Ind. Sci. & Technol., Tsukuba, Japan ; Satoh, Y. ; Kobayashi, T. ; Ueshiba, T.
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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.

Published in:

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

Date of Conference:

20-21 Aug. 2009