@inproceedings{8114de0ae4f34ea7be754ed5f8df4c01,
title = "Benchmarking Medical Image Databases",
abstract = " An increase in the use of digital images in medicine and medical research has resulted in petabytes of digital images acquired each year. As more information is collected, there is a greater need to store, share, and retrieve images from various medical imaging modalities. Web-based medical image data management systems have been created to solve many issues caused by the Picture Archiving and Communication System (PACS). Five such medical image database systems are reviewed in this work. All the systems failed to capture experimental design specifications necessary for the proper interpretation of the associated images.",
keywords = "Benchmark examples, Biomedical systems, Database structures, Database systems, Medical systems",
author = "Phani Kidambi and Matthew Sherwood and Jason Parker and {De Velvis}, Ralph",
year = "2013",
doi = "10.3182/20130811-5-US-2037.00079",
language = "English",
isbn = "9783902823410",
volume = "12",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
number = "PART 1",
pages = "240--243",
booktitle = "12th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human - Machine Systems, HMS 2013 - Proceedings",
edition = "PART 1",
note = "12th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems ; Conference date: 11-08-2013 Through 14-08-2013",
}