An Approach to DICOM Extension for Medical Image Streaming

Драган, Дину; Ivetić, Dragan

doi:10.2507/daaam.scibook.2009.04

Cited by 11 publications

(6 citation statements)

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“…The order can be characterized as the distinguishing proof undertaking to which a lot of the gathering, another perception has a place, based on preparing a lot of information containing observation [13,14]. In this examination work, the diverse CT images are the gatherings and the preparation information incorporate the highlights, which were removed from typical and strange images [15,16].…”

Section: Resultsmentioning

confidence: 99%

Development of algorithm for identification of maligant growth in cancer using artificial neural network

Pandian

Ravikumar

Kumar

2020

IJECE

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The precise identification and characterization of small pulmonary nodules at low-dose CT is a necessary requirement for the completion of valuable lung cancer screening. It is compulsory to develop some automated tool, in order to detect pulmonary nodules at low dose ct at the beginning stage itself. The numerous algorithms had been proposed earlier by many researchers in the past, but, the accuracy of prediction is always a challenging task. In this work, an artificial neural network based methodology is proposed to find the irregular growth of lung tissues. Higher probability of detection is taken as a goal to get an automated tool, with great accuracy. The finest feature sets derived from Haralick Gray level co occurrence Matrix and used as the dimension reduction way for feeding neural network. In this work, a binary Binary classifier neural network has been proposed to identify the normal images out of all the images. The capability of the proposed neural network has been quantitatively computed using confusion matrix and found in terms of classification accuracy.

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Section: Resultsmentioning

confidence: 99%

Development of algorithm for identification of maligant growth in cancer using artificial neural network

Pandian

Ravikumar

Kumar

2020

IJECE

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“…To revive it needs to be re-constructed with modern technologies. While HTML5, CSS3 and other established standards allow rich multimedia functions, video streaming protocols still remain an issue: the only applicable protocol is RTMP [Koeing et al, 2009, Dragan & Ivetic, 2009, which comes from the Adobe Flash Media Server and has similar problems of Adobe Flash. However, emerging technologies, such as MPEG DASH promise more elegant solution, but still remain in the testing phase of development.…”

Section: Future Workmentioning

confidence: 99%

Object-Oriented Approach to Video Editing and Broadcasting to the Internet

Korolev¹

2014

DAAAM International Scientific Book 2014

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Using video on the Internet has become a common practice, but the television-like 'passive viewer' approach misses the benefits of the interactive nature of the Internet. The technological limitations of television can be overridden by the Internet. Having multiple sources of input does not mean they should be merged into one editor-controlled flat output. Treating streams as objects, it is possible to make viewers editors for their screens whenever they want, or let them watch a pre-edited version. Active streams are distributed to viewers to gain control over the scene layout. Recorded scenes can be remastered whenever needed and represented in different views simultaneously. For lectures and conference recordings, inline slide browsing is also possible. This approach was successfully tested in the Viditory.net project for the broadcasting and recording of conferences with multi-camera shots and remote speakers. Despite the Adobe Flash platform becoming obsolete, it is possible to implement similar capabilities on modern platforms and by using modern technologies.

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“…While analyzing the uni variate complex systems, the uni variate statistics leads to failure causing the process upset. The multivariate analysis tools helps engineers and production managers to understand the behaviour of the process and implement strategies in more robust control to control the quality, maximize the yield, run the processes closer to limits, to use components with lower cost, reduce energy, cycle time and minimize the waste [16]- [18].…”

Section: Introductionmentioning

confidence: 99%

An approach to assess the quality of honey using partial least square method

Rajalakshmi

Gopal

Pandian

2021

IJECE

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<p>The objective of the present study is to obtain the quantity of honey components such as moisture, glucose, fructose and sucrose in order to access the quality of honey. The tested honey samples are authenticated if the characteristics of a pure honey. The average ratio of 56% fructose to 44% glucose, but the ratios in the individual honeys ranged from a high of 64% fructose and 36% glucose to a low of 50% fructose and 50% glucose. The contents such as fructose and sucrose in honey is due to the presence of invertase enzymes. The organic acids present in the honey is responsible for the flavor and stability against the contamination of honey due to microorganisms. The natural food items are adulterated intentionally to increase the quantity and there by the quality gets affected. The main adulterants added in honey are sucrose, corn syrup, sugar syrup and jaggery syrup. The quantification deals in finding out the amount of basic constituents present in pure honey and adulterated honey using Fourier transform infrared (FTIR) spectrometer with the multivariate analysis and validating the same using chemical analysis method. The partial least square model is used in predicting the constituents of the samples.</p>

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An Approach to DICOM Extension for Medical Image Streaming

Cited by 11 publications

References 0 publications

Development of algorithm for identification of maligant growth in cancer using artificial neural network

Development of algorithm for identification of maligant growth in cancer using artificial neural network

Object-Oriented Approach to Video Editing and Broadcasting to the Internet

An approach to assess the quality of honey using partial least square method

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