• Smart Media Journal
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• v.5 no.1
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• pp.49-54
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• 2016

Medical image processing is a compulsory process to diagnose many kinds of disease. Therefore, an automatic algorithm for this task is highly demanded as an important part to construct a computer-aided diagnosis system. In this paper, we introduce an automatic method to segment the liver region from 3D abdominal CT images using Otsu method. First, we choose a 2D slice which has most liver information from the whole 3D image. Secondly, on the chosen slice, we enhanced the image based on its intensity using Otsu method with multiple thresholds and use the threshold to enhance the whole 3D image. Then, we apply a liver mask to mark the candidate liver region. After that, we execute the Otsu method again to segment the liver region from the chosen slice and propagate the result to the whole 3D image. Finally, we apply preprocessing on the frontal side of 3D images to crop only the liver region from the image.

• Journal of Biomedical Engineering Research
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• v.36 no.3
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• pp.55-60
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• 2015

An effective image retrieval system is required as the amount of medical imaging data is increasing recently. Authors reviewed the recent development of text-based medical image retrieval including the use of controlled vocabularies - RadLex (Radiology Lexicon), FMA (Foundational Model of Anatomy), etc - natural language processing, semantic ontology, and image annotation and markup.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.44 no.3
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• pp.43-48
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• 2007

The medical imaging processing area with the development of high-speed Internet and the portable embedded system under prevailed ubiquitous environment is quick in research and development for the system that can search and decipher the patient's information in anytime and anywhere. Especially, the new applications demand utilizing scout images besides diagnostic purposes. With the development of ubiquitous system, medical image viewers are utilizing to the hospitals combined with PACS system and Web browser. This paper implements the mobile terminal based medical image viewing system that shows the potential in wireless environment.

• Journal of Electrical Engineering and Technology
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• v.10 no.6
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• pp.2384-2392
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• 2015

The technical development and practical applications of big-data for health is one hot topic under the banner of big-data. Big-data medical image fusion is one of key problems. A new fusion approach with coding based on Spherical Coordinate Domain (SCD) in Wireless Sensor Network (WSN) for big-data medical image is proposed in this paper. In this approach, the three high-frequency coefficients in wavelet domain of medical image are pre-processed. This pre-processing strategy can reduce the redundant ratio of big-data medical image. Firstly, the high-frequency coefficients are transformed to the spherical coordinate domain to reduce the correlation in the same scale. Then, a multi-scale model product (MSMP) is used to control the shrinkage function so as to make the small wavelet coefficients and some noise removed. The high-frequency parts in spherical coordinate domain are coded by improved SPIHT algorithm. Finally, based on the multi-scale edge of medical image, it can be fused and reconstructed. Experimental results indicate the novel approach is effective and very useful for transmission of big-data medical image(especially, in the wireless environment).

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.9
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• pp.802-812
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• 2013

Recently, Capsule Endoscope(CE) system is receiving great attention as a innovative convergence technology that allows doctors to examine the digestive tract of a human body in the minimum invasive way. Once patients swallow the vitamin pill-sized capsule, doctors can detect disease such as blood-based abnormalities, polyps, ulcers, and Crohn's disease through the image information delivered by wireless or human body communication module in CE. Although CE is really a innovative technology, it still suffers from some drawbacks in terms of correct diagnosis of lesion and analysis required time. Due to the massive images approximately 60~120 thousand frames taken by miniature camera in the CE, doctors spend too much time examining the images and analyzing the lesions. Therefore, to lighten the burden of doctors, software tools for fast diagnosis and medical image processing techniques for correct diagnosis of lesion are essential in CE system. In this paper, we investigate the latest trends of diagnosis tools and image processing techniques based on major makers of CE systems, which are hardly known to the general public.

• The KIPS Transactions:PartA
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• v.10A no.5
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• pp.425-432
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• 2003

This paper presents an EMR(Electronic Medical Record) chart for efficient PDA through the quad tree image rendering based on the mobile. Using the intermediate image space algorithm instead of the final one for volume rendering, we have solved the probems of th eholes coming from the point-to-point to mapping. The quad-tree based on the delta-tree efficiently represents volume expressions and results in higher compression effects. With the volume rendering, we can decrease the rendering time and get a higher quality and efficiency for PDA through image based rendering.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.1153-1156
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• 2005

PACS system developments for improve of diagnosis efficiency for hospital duty efficiency and patients through various medical image diagnosis device. PACS system studies for nonfilm hospital, but still, image filtering technology Present high accuracy take a photograph image be not enough. On study image processing part is very importance. The fittest of image processing in order to using simple and essential filter try to improvrnent. The future, diagnosis of patients decide accuracy, low cost based Digital XRay system will be using.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.5
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• pp.1584-1596
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• 2022

According to a survey published in an authoritative journal in January 2020, the globalincidence rate of mental illness is 8.3% for men and 10.6% for women, which indicates thatmental illness has become a globally recognized obstacle. Therefore, specific psychotherapy including mental illness will become an important research topic. It is very effective forpatients with special mental diseases, such as mental illness, to reduce their mental reaction byexposure therapy; the system uses the virtual reality system of medical images processed by learningalgorithm to reproduce the effect of virtual reality exposure method of the high scene of transparent ladder. Compared with the old invasive exposure scene, the results show that theimprovement of both conditions has obvious effect, and the effect of human treatment underthe two conditions is not good. There are obvious differences, which show that virtual reality model will gradually replace the on-the-spot feeling. Finally, with more and more researchers have put forward a variety of other virtual reality image processing models, the research of image processing has gradually become more and more interested.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.655-658
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• 2021

The purpose of multimodal medical image fusion (MMIF) is to integrate images of different modes with different details into a result image with rich information, which is convenient for doctors to accurately diagnose and treat the diseased tissues of patients. Encouraged by this purpose, this paper proposes a novel method based on a two-scale decomposer and detail preservation model. The first step is to use the two-scale decomposer to decompose the source image into the energy layers and structure layers, which have the characteristic of detail preservation. And then, structure tensor operator and max-abs are combined to fuse the structure layers. The detail preservation model is proposed for the fusion of the energy layers, which greatly improves the image performance. The fused image is achieved by summing up the two fused sub-images obtained by the above fusion rules. Experiments demonstrate that the proposed method has superior performance compared with the state-of-the-art fusion methods.

• Proceedings of the KOSOMBE Conference
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• v.1990 no.11
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• pp.42-47
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• 1990

In this paper, a new adaptive image processing method based on human visual system has been presented. The basic idea behind the proposed method is to improve the efficiency of the information transfer channel regionally by manipulating the displayed image in order to compensate the regional inefficiency of the information transfer channel. The proposed method consists of two parts; the first part reallocates pixel values corresponding to high X-ray attenuation to that of more intense X-ray exposure by multiplying the pixel values with the local adaptive multiplcation factor, and the second part adjusts the pixel values of dark area of displayed image such as overexposed lung area to be more bright. The processed image with the proposed method shows significantly increased visibility of mediastinal and subdiaphramatic area, and also the lung area of over exposed case without any artifact.