The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Cet article présente les résultats de l'examen de la possibilité de détection automatique de régions peu claires dans le système CAD pour les tumeurs colorectales avec une image vidéo endoscopique en temps réel. Nous avons confirmé qu'il est possible de réaliser le système de CAO avec une fonction de navigation de région claire qui consiste en une détection de région peu claire par YOLO2 et une classification par AlexNet et SVM sur des cœurs DSP intégrés personnalisables. De plus, nous avons confirmé que le système de CAO en temps réel peut être construit par un ASIC faible consommation utilisant des cœurs DSP intégrés personnalisables.
Masayuki ODAGAWA
Hiroshima University,Cadence Design Systems Japan
Tetsushi KOIDE
Hiroshima University
Toru TAMAKI
Nagoya Institute of Technology
Shigeto YOSHIDA
Medical Corporation JR Hiroshima Hospital
Hiroshi MIENO
Medical Corporation JR Hiroshima Hospital
Shinji TANAKA
Hiroshima University
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copier
Masayuki ODAGAWA, Tetsushi KOIDE, Toru TAMAKI, Shigeto YOSHIDA, Hiroshi MIENO, Shinji TANAKA, "Feasibility Study for Computer-Aided Diagnosis System with Navigation Function of Clear Region for Real-Time Endoscopic Video Image on Customizable Embedded DSP Cores" in IEICE TRANSACTIONS on Fundamentals,
vol. E105-A, no. 1, pp. 58-62, January 2022, doi: 10.1587/transfun.2021EAL2044.
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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2021EAL2044/_p
Copier
@ARTICLE{e105-a_1_58,
author={Masayuki ODAGAWA, Tetsushi KOIDE, Toru TAMAKI, Shigeto YOSHIDA, Hiroshi MIENO, Shinji TANAKA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Feasibility Study for Computer-Aided Diagnosis System with Navigation Function of Clear Region for Real-Time Endoscopic Video Image on Customizable Embedded DSP Cores},
year={2022},
volume={E105-A},
number={1},
pages={58-62},
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.},
keywords={},
doi={10.1587/transfun.2021EAL2044},
ISSN={1745-1337},
month={January},}
Copier
TY - JOUR
TI - Feasibility Study for Computer-Aided Diagnosis System with Navigation Function of Clear Region for Real-Time Endoscopic Video Image on Customizable Embedded DSP Cores
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 58
EP - 62
AU - Masayuki ODAGAWA
AU - Tetsushi KOIDE
AU - Toru TAMAKI
AU - Shigeto YOSHIDA
AU - Hiroshi MIENO
AU - Shinji TANAKA
PY - 2022
DO - 10.1587/transfun.2021EAL2044
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E105-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2022
AB - 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.
ER -