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	PDGF-B conjugating mesoporous IO/GdO nanocomposites for accurate diagnosis of orthotopic prostatic cancer through T-1-T-2 dual-modal MRI contrast enhancement 期刊论文 OAI收割 MATERIALS TODAY ADVANCES, 2022, 卷号: 16 作者: Li, Qingdong; Xiao, Jianmin; Zhang, Caiyun; Wang, Peng; Li, Wenling \| 收藏 \| 浏览/下载：52/0 \| 提交时间：2022/12/22 IO GdO nanocomposite T1 T2 dual modal MRI Orthotopic prostate cancer Accurate diagnosis
	The research of digltal CR medicine image adapitive enhancement method (EI CONFERENCE) 会议论文 OAI收割 4th International Conference on Mechanical and Electrical Technology, ICMET 2012, July 24, 2012 - July 26, 2012, Kuala Lumpur, Malaysia Ming-Hui Z.; Yao-Yu Z. 收藏 \| 浏览/下载：67/0 \| 提交时间：2013/03/25 Digital CR medicine radiation image is in doctor's favor and has became medicine imaging technology new hot spot because of its high gray contrast powerful computer disposal function little radiation dosage non-film diagnosis different area consultation. But degradation of digital X-ray medical image such as low contrast and blurring during radiographic imaging caused by complexity of body tissue and effects of X-ray scattering and electrical noise etc. can worsen the results of analysis and diagnosis. So it is usually needed that CR medicine image is enhanced to improve its vision quality and easy to doctor's more accurate diagnosis. The general enhancement algorithms over enhancing the contrast and lose image details aiming at the defects an enhancement algorithm for CR image is proposed based on the ratio of deviation to mean of domain. The arithmetic enhance CR image edge details by adjusting factor K based on the ratio of deviation to mean of domain of CR image. Experiment results demonstrate that the algorithm enhances CR image detail and CR image enhanced has good visual effect the adaptive enhancement method is fit for CR medicine image. (2012) Trans Tech Publications Switzerland.
	MGRG-morphological gradient based 3D region growing algorithm for airway tree segmentation in image guided intervention therapy (EI CONFERENCE) 会议论文 OAI收割 2nd International Symposium on Bioelectronics and Bioinformatics, ISBB 2011, November 3, 2011 - November 5, 2011, Suzhou, China 作者: Zhang T.; Gao X. 收藏 \| 浏览/下载：47/0 \| 提交时间：2013/03/25 Accurate surgical planning and guidance plays an important role in successful implementation of image guided intervention. In interventional lung cancer diagnosis and treatments precise segmentation of airway trees from lung CT images provides crucial visualization for preoperative planning and intraoperative guidance to avoid major trachea injury. While 3D region growing can segment main the parts of an airway tree (trachea left and right main bronchus as well as bronchi) the method fails at bronchiole segmentation and is not robust. Mathematical morphology is an anatomical detective. In this paper we propose a morphological gradient based region growing (MGRG) algorithm to overcome the intensity inhomogeneity and improve the robustness of 3D region growing on extraction of bronchioles. The MGRG algorithm is validated using lung CT images and results show that it is able to segment bronchioles and outperforms the traditional region growing method on airway tree segmentation. 2011 IEEE.
	Study on color difference estimation method of medicine biochemical analysis (EI CONFERENCE) 会议论文 OAI收割 ICO20: Illumination, Radiation, and Color Technologies, August 21, 2005 - August 26, 2005, Changchun, China 作者: Zhou Y.; Zhou F.; Wang C. 收藏 \| 浏览/下载：35/0 \| 提交时间：2013/03/25 The biochemical analysis in medicine is an important inspection and diagnosis method in hospital clinic. The biochemical analysis of urine is one important item. The Urine test paper shows corresponding color with different detection project or different illness degree. The color difference between the standard threshold and the test paper color of urine can be used to judge the illness degree therefore it can be used in hospital so that further analysis and diagnosis to urine is gotten. The color is a three-dimensional physical variable concerning psychology the estimation method of color difference in urine test can have better precision and facility than the conventional test method with one-dimensional reflectance calibrating organization and family while reflectance is one-dimensional variable it can make an accurate diagnose. The digital camera is easy to take an image of urine test paper and is used to carry out the urine biochemical analysis conveniently. On the experiment so its application prospect is extensive. the color image of urine test paper is taken by popular color digital camera and saved in the computer which installs a simple color space conversion (RGB &rarr XYZ &rarr Lab*) and the calculation software. Test sample is graded according to intelligent detection of quantitative color. The images taken every time were saved in computer and the whole illness process will be monitored. This method can also use in other medicine biochemical analyses that have relation with color. Experiment result shows that this test method is quick and accurate
	Lossless wavelet compression on medical image (EI CONFERENCE) 会议论文 OAI收割 4th International Conference on Photonics and Imaging in Biology and Medicine, September 3, 2005 - September 6, 2005, Tianjin, China 作者: Liu H.; Liu H.; Liu H. 收藏 \| 浏览/下载：42/0 \| 提交时间：2013/03/25 An increasing number of medical imagery is created directly in digital form. Such as Clinical image Archiving and Communication Systems (PACS). as well as telemedicine networks require the storage and transmission of this huge amount of medical image data. Efficient compression of these data is crucial. Several lossless and lossy techniques for the compression of the data have been proposed. Lossless techniques allow exact reconstruction of the original imagery while lossy techniques aim to achieve high compression ratios by allowing some acceptable degradation in the image. Lossless compression does not degrade the image thus facilitating accurate diagnosis of course at the expense of higher bit rates i.e. lower compression ratios. Various methods both for lossy (irreversible) and lossless (reversible) image compression are proposed in the literature. The recent advances in the lossy compression techniques include different methods such as vector quantization wavelet coding neural networks and fractal coding. Although these methods can achieve high compression ratios (of the order 50:1 or even more) they do not allow reconstructing exactly the original version of the input data. Lossless compression techniques permit the perfect reconstruction of the original image but the achievable compression ratios are only of the order 2:1 up to 4:1. In our paper we use a kind of lifting scheme to generate truly loss-less non-linear integer-to-integer wavelet transforms. At the same time we exploit the coding algorithm producing an embedded code has the property that the bits in the bit stream are generated in order of importance so that all the low rate codes are included at the beginning of the bit stream. Typically the encoding process stops when the target bit rate is met. Similarly the decoder can interrupt the decoding process at any point in the bil stream and still reconstruct the image. Therefore a compression scheme generating an embedded code can start sending over the network the coarser version of the image first and continues with the progressive transmission of the refinement details. Experimental results show that our method can get a perfect performance in compression ratio and reconstructive image.