Recently; medical image mining has become one of the well-recognized research area(s) of machine learning and artificial intelligence techniques have been vastly used in various computer added diagnostic systems. Specifically; breast cancer classification problem is considered as one of the most significant problems. For instance, complex, diverse and heterogamous malignant features of micro-ca...

It is not easy to connect a web-based server with an existing DICOM server, and using a web-based server on the INTERNET has risks. In this study, we designed and developed the secure DICOM-Network Attached Server (DICOM-NAS) through which the DICOM server in a hospital-Local Area Network (LAN) was connected to the INTERNET. After receiving a Client's image export request, the DICOM-NAS sent it...

DICOM (Digital Imaging and Communications in Medicine) is an industry standard for medical imaging. We present an OWL ontology for DICOM metadata and dicom2rdf-a tool to extract RDF metadata out of DICOM files (Media type application/dicom, filename extension .dcm). We discuss benefits, use cases, limitations and possible enhancements. 1 The DICOM standard DICOM objects consist of sets of attri...

In this paper, I am presenting an argument for a best practices strategy for dealing with non-DICOM Medical Image Data Objects in a PACS Neutral-Archive (PNA). In this context, the data objects I am referring to are diagnostic image objects that are produced through a clinical study process. The key message of this white paper is that managing the non-DICOM data objects in a Neutral Archive in ...

Digital Imaging and Communication in Medicine (DICOM) is a communication protocol that imaging devices use to communicate. The universal acceptance of the DICOM standard by the major medical vendors means that the digital transition in veterinary medicine should be relatively smooth provided DICOM is used. DICOM service objects, roles, service classes, and conformance standards are discussed. T...

This paper introduces an open implementation of DICOM for whole-slide microscopic imaging, following Supplement 145 of the DICOM standard. The software is divided into two parts: (a) a command-line tool to convert an whole-slide image to the DICOM format, and (b) a zero-footprint Web interface to display such DICOM images. The software architecture leverages the DICOM server Orthanc. The entire...

In our recent paper “A simple tool for neuroimaging data sharing,” we introduced a system for sharing DICOM data. Addressing anonymization, we mentioned DICOM Supplement 551, the National Cancer Institute deidentification profile, and the default deidentification profile in XNAT’s DICOM Browser and noted the disagreement in these various anonymization profiles. While a careful analysis of anony...

The package oro.dicom facilitates the interaction with and manipulation of medical imaging data that conform to the DICOM standard. DICOM data, from a single file or single directory or directory tree, may be uploaded into R using basic data structures: a data frame for the header information and a matrix for the image data. A list structure is used to organize multiple DICOM files. The convers...

In imaging medicine the DICOM standard has become a widely accepted and implemented format for the exchange, storage and presentation of medical imaging data. Numerous imaging modalities are supported however there is not a dedicated solution for thermal infrared imaging. We designed and implemented a new proposal for DICOM Thermal Infrared Imaging (TII) using existing DICOM data structures and...

The Digital Imaging and Communications in Medicine (DICOM) protocol is currently the ubiquitous standard for the communication of medical images and related data within the radiology department. However, seamless image distribution within the healthcare enterprise and especially with research and educational information systems is still hard to achieve, as software developers of such third-part...