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Medical vision: web and mobile medical image retrieval system based on google cloud vision

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 10 No. 6 (2020)

DOI
10.11591/ijece.v10i6.pp5974-5984
ISSN
2722-2578, 2088-8708
Published
2020-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The application of information technology is rapidly utilized in the medical system. There is also a massive development in the automatic method for recognizing and detecting objects in the real world. In this study, we present a system called Medical Vision which is designed for people who has no expertise in medical. Medical Vision is a web and mobile-based application to give an initial knowledge in a medical image. This system has 5 features; object detection, web detection, object labeling, safe search, and image properties. These features are run by embedding Google Vision API in the system. We evaluate this system by observing the result of some medical images which inputted into the system. The results showed that our system presents a promising performance and able to give relevant information related to the given image.

Collaboration network of the authors

17 authors · 39 co-authorship links · 11 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Udayana University
  • University of Indonesia
  • University of Edinburgh
  • The University of Melbourne
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Grafika JatiUniversity of Indonesia2
Ida Ayu Dwi GiriantariUdayana University2
Muhammad Febrian RachmadiUniversity of Edinburgh1
Agung SantosoUniversity of Indonesia1
Rafli FilanoUniversity of Indonesia1
Nurul HanifahUniversity of Indonesia1
Muhammad Hafizhuddin HilmanThe University of Melbourne1
Dewa Ayu Nadia TaradhitaUdayana University1
Made SudarmaUdayana University1
P M PrihatiniUdayana University1
Risky Aswi RamadhaniUdayana University1
Made SudarmaUdayana University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Medical vision: web and mobile medical image retrieval system based on google cloud vision</dc:title><dc:creator>Darma Putra, I Ketut Gede</dc:creator><dc:creator>Sri Asra, Dewa Made</dc:creator><dc:creator>Dwiva Hardijaya, I Gusti Ngurah</dc:creator><dc:creator>Surya Prabawa, I Gede Galang</dc:creator><dc:creator>Satia Widiatmika, I Made Aris</dc:creator><dc:description>&lt;jats:p&gt;The application of information technology is rapidly utilized in the medical system. There is also a massive development in the automatic method for recognizing and detecting objects in the real world. In this study, we present a system called Medical Vision which is designed for people who has no expertise in medical. Medical Vision is a web and mobile-based application to give an initial knowledge in a medical image. This system has 5 features; object detection, web detection, object labeling, safe search, and image properties. These features are run by embedding Google Vision API in the system. We evaluate this system by observing the result of some medical images which inputted into the system. The results showed that our system presents a promising performance and able to give relevant information related to the given image.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2020-12-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v10i6.pp5974-5984</dc:identifier><dc:identifier>10.11591/ijece.v10i6.pp5974-5984</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 10 No 6 (2020); 5974</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/20727/14393</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>