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Novel platform for development, training, and validation of computer-assisted detection/diagnosis software

PURPOSE: To build a novel, open-source, purely web-based platform system to address problems in the development and clinical use of computer-assisted detection/diagnosis (CAD) software. The new platform system will replace the existing system for the development and validation of CAD software, Clini...

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Autores principales: Nomura, Yukihiro, Miki, Soichiro, Hayashi, Naoto, Hanaoka, Shouhei, Sato, Issei, Yoshikawa, Takeharu, Masutani, Yoshitaka, Abe, Osamu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7142060/
https://www.ncbi.nlm.nih.gov/pubmed/32157503
http://dx.doi.org/10.1007/s11548-020-02132-z
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author Nomura, Yukihiro
Miki, Soichiro
Hayashi, Naoto
Hanaoka, Shouhei
Sato, Issei
Yoshikawa, Takeharu
Masutani, Yoshitaka
Abe, Osamu
author_facet Nomura, Yukihiro
Miki, Soichiro
Hayashi, Naoto
Hanaoka, Shouhei
Sato, Issei
Yoshikawa, Takeharu
Masutani, Yoshitaka
Abe, Osamu
author_sort Nomura, Yukihiro
collection PubMed
description PURPOSE: To build a novel, open-source, purely web-based platform system to address problems in the development and clinical use of computer-assisted detection/diagnosis (CAD) software. The new platform system will replace the existing system for the development and validation of CAD software, Clinical Infrastructure for Radiologic Computation of United Solutions (CIRCUS). METHODS: In our new system, the two top-level applications visible to users are the web-based image database (CIRCUS DB; database) and the Docker plug-in-based CAD execution platform (CIRCUS CS; clinical server). These applications are built on top of a shared application programming interface server, a three-dimensional image viewer component, and an image repository. RESULTS: We successfully installed our new system into a Linux server at two clinical sites. A total of 1954 cases were registered in CIRCUS DB. We have been utilizing CIRCUS CS with four Docker-based CAD plug-ins. CONCLUSIONS: We have successfully built a new version of the CIRCUS system. Our platform was successfully implemented at two clinical sites, and we plan to publish it as an open-source software project.
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spelling pubmed-71420602020-04-14 Novel platform for development, training, and validation of computer-assisted detection/diagnosis software Nomura, Yukihiro Miki, Soichiro Hayashi, Naoto Hanaoka, Shouhei Sato, Issei Yoshikawa, Takeharu Masutani, Yoshitaka Abe, Osamu Int J Comput Assist Radiol Surg Original Article PURPOSE: To build a novel, open-source, purely web-based platform system to address problems in the development and clinical use of computer-assisted detection/diagnosis (CAD) software. The new platform system will replace the existing system for the development and validation of CAD software, Clinical Infrastructure for Radiologic Computation of United Solutions (CIRCUS). METHODS: In our new system, the two top-level applications visible to users are the web-based image database (CIRCUS DB; database) and the Docker plug-in-based CAD execution platform (CIRCUS CS; clinical server). These applications are built on top of a shared application programming interface server, a three-dimensional image viewer component, and an image repository. RESULTS: We successfully installed our new system into a Linux server at two clinical sites. A total of 1954 cases were registered in CIRCUS DB. We have been utilizing CIRCUS CS with four Docker-based CAD plug-ins. CONCLUSIONS: We have successfully built a new version of the CIRCUS system. Our platform was successfully implemented at two clinical sites, and we plan to publish it as an open-source software project. Springer International Publishing 2020-03-09 2020 /pmc/articles/PMC7142060/ /pubmed/32157503 http://dx.doi.org/10.1007/s11548-020-02132-z Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Article
Nomura, Yukihiro
Miki, Soichiro
Hayashi, Naoto
Hanaoka, Shouhei
Sato, Issei
Yoshikawa, Takeharu
Masutani, Yoshitaka
Abe, Osamu
Novel platform for development, training, and validation of computer-assisted detection/diagnosis software
title Novel platform for development, training, and validation of computer-assisted detection/diagnosis software
title_full Novel platform for development, training, and validation of computer-assisted detection/diagnosis software
title_fullStr Novel platform for development, training, and validation of computer-assisted detection/diagnosis software
title_full_unstemmed Novel platform for development, training, and validation of computer-assisted detection/diagnosis software
title_short Novel platform for development, training, and validation of computer-assisted detection/diagnosis software
title_sort novel platform for development, training, and validation of computer-assisted detection/diagnosis software
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7142060/
https://www.ncbi.nlm.nih.gov/pubmed/32157503
http://dx.doi.org/10.1007/s11548-020-02132-z
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