Feasibility Study for Computer-Aided Diagnosis System with Navigation Function of Clear Region for Real-Time Endoscopic Video Image on Customizable Embedded DSP Cores

Masayuki Odagawa; Tetsushi Koide; Toru Tamaki; Shigeto Yoshida; Hiroshi Mieno; Shinji Tanaka

doi:10.1587/transfun.2021EAL2044

This article has now been updated. Please use the final version.

Feasibility Study for Computer-Aided Diagnosis System with Navigation Function of Clear Region for Real-Time Endoscopic Video Image on Customizable Embedded DSP Cores

Masayuki Odagawa, Tetsushi Koide, Toru Tamaki, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka

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Keywords: Medical image/video processing, Computer-Aided Diagnosis system (CAD), Navigation Function, Convolutional Neural Network (CNN), Support Vector Machine (SVM), Customizable Embedded Digital Signal Processor (DSP)

JOURNAL RESTRICTED ACCESS Advance online publication

Article ID: 2021EAL2044

DOI https://doi.org/10.1587/transfun.2021EAL2044

The final version of this article is now available: Vol. E105.A (2022), No. 1 pp. 58-62

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Abstract

This paper presents examination result of possibility for automatic unclear region detection in the CAD system for colorectal tumor with real time endoscopic video image. We confirmed that it is possible to realize the CAD system with navigation function of clear region which consists of unclear region detection by YOLO2 and classification by AlexNet and SVMs on customizable embedded DSP cores. Moreover, we confirmed the real time CAD system can be constructed by a low power ASIC using customizable embedded DSP cores.

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