Digital Imaging and Communications in Medicine

Rodrigues, Joel José P.C.; Compte, Sandra Sendra; Diez, Isabel de la Torra

doi:10.1016/b978-1-78548-091-1.50004-x

Cited by 3 publications

(3 citation statements)

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“…Basado en un modelo del mundo real, el lenguaje DICOM utiliza un lenguaje propio para entrar en el complejo campo médico. La interpretación del mundo real utiliza la información física, epidemiológica y clínica como elementos con atributos y propiedades propias (22). Así, se genera una jerarquía en la información que facilita la clasificación y acceder a variables y parámetros de interés dentro de un archivo (23).…”

Section: Tomografía Computarizadaunclassified

A unified patch based method for brain tumor detection using features fusion

Sharif

Amin

Nisar

et al. 2020

Cognitive Systems Research

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Section: Tomografía Computarizadaunclassified

A unified patch based method for brain tumor detection using features fusion

Sharif

Amin

Nisar

et al. 2020

Cognitive Systems Research

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“…For example, the WHO operates projects for supporting strategies for e-Health applications [ 16 ]. HL7 and DICOM provide information exchange standards for e-Health systems to integrate easily into communications between devices [ 17 , 18 , 19 ]. Through the protocols and Application Program Interfaces (APIs) for heterogeneous frameworks, the e-Health devices are able to interact with each other to exchange data.…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of e-Health System Based on Semantic Sensor Network Using IETF YANG

Jin

Kim

2018

Sensors

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Recently, healthcare services can be delivered effectively to patients anytime and anywhere using e-Health systems. e-Health systems are developed through Information and Communication Technologies (ICT) that involve sensors, mobiles, and web-based applications for the delivery of healthcare services and information. Remote healthcare is an important purpose of the e-Health system. Usually, the eHealth system includes heterogeneous sensors from diverse manufacturers producing data in different formats. Device interoperability and data normalization is a challenging task that needs research attention. Several solutions are proposed in the literature based on manual interpretation through explicit programming. However, programmatically implementing the interpretation of the data sender and data receiver in the e-Health system for the data transmission is counterproductive as modification will be required for each new device added into the system. In this paper, an e-Health system with the Semantic Sensor Network (SSN) is proposed to address the device interoperability issue. In the proposed system, we have used IETF YANG for modeling the semantic e-Health data to represent the information of e-Health sensors. This modeling scheme helps in provisioning semantic interoperability between devices and expressing the sensing data in a user-friendly manner. For this purpose, we have developed an ontology for e-Health data that supports different styles of data formats. The ontology is defined in YANG for provisioning semantic interpretation of sensing data in the system by constructing meta-models of e-Health sensors. The proposed approach assists in the auto-configuration of eHealth sensors and querying the sensor network with semantic interoperability support for the e-Health system.

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“…Predominantly, medical images are generated through the different automated instrumentation technologies namely computer tomography, magnetic resonance interference, X‐ray and ultrasound. The common extension for digital medical images in multimedia communication is denoted as digital imaging and communications in medicine (DICOM) [1]. Preserving medical information plays a key role when the DICOM images are transferred over an open channel or stored in a specific static or cloud storages for e‐diagnosis [2].…”

Section: Introductionmentioning

confidence: 99%