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標(biāo)題: Titlebook: Handbook of Biomedical Image Analysis; Volume 2: Segmentati Jasjit S. Suri,David L. Wilson,Swamy Laxminarayan Book 2005 Springer-Verlag US [打印本頁(yè)]

作者: 灰塵    時(shí)間: 2025-3-21 17:15
書目名稱Handbook of Biomedical Image Analysis影響因子(影響力)




書目名稱Handbook of Biomedical Image Analysis影響因子(影響力)學(xué)科排名




書目名稱Handbook of Biomedical Image Analysis網(wǎng)絡(luò)公開度




書目名稱Handbook of Biomedical Image Analysis網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Handbook of Biomedical Image Analysis被引頻次




書目名稱Handbook of Biomedical Image Analysis被引頻次學(xué)科排名




書目名稱Handbook of Biomedical Image Analysis年度引用




書目名稱Handbook of Biomedical Image Analysis年度引用學(xué)科排名




書目名稱Handbook of Biomedical Image Analysis讀者反饋




書目名稱Handbook of Biomedical Image Analysis讀者反饋學(xué)科排名





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Statistical and Adaptive Approaches for Optimal Segmentation in Medical Images, increasingly popular tool in medical research and practice, especially with the increase of medical images in modality, amount, size, and dimension. Image segmentation, a process that aims at identifying and separating regions of interests from an image, is crucial in many medical applications such
作者: BRUNT    時(shí)間: 2025-3-22 21:04
Automatic Analysis of Color Fundus Photographs and Its Application to the Diagnosis of Diabetic Ret majors role and where the practical use is evident, image processing—as a derivative of applied mathematics—is a more theoretical discipline. Hence, the conditions of this meeting need to be analyzed sophisticatedly; not everything possible to implement is useful, and not everything useful is possi
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Simultaneous Fuzzy Segmentation of Medical Images, is related to the application at hand. To perform object identification in digital or continuous, moving or still images, humans make use of high-level reasoning and knowledge, as well as of different visual cues, such as shadowing, occlusion, parallax motion, and the relative size of objects. Asid
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Computer-Aided Diagnosis of Mammographic Calcification Clusters: Impact of Segmentation, in the last 15–20 years. Significant work has been done and reported for breast cancer imaging with particular emphasis on mammography. The reasons for the impressive volume of work in this field include
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Radio-anatomie des veines pelviennes The behavior of the atherosclerotic lesions depends not only on the degree of lumen narrowing but also on the histological composition that causes that narrowing. Therefore, tissue characterization is a fundamental tool for studying and diagnosing the pathologies and lesions associated to the vascu
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Thüringische Verfassungsurkundenin 2002) [.,.]. The reason for this major difference is that there are no clear early symptoms of pancreatic cancer and no screening procedures or screening policy for this disease. It is usually diagnosed at a late stage and has a poor prognosis with a 1-year survival rate of 20% and a 5-year survi
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https://doi.org/10.5822/978-1-61091-232-7 majors role and where the practical use is evident, image processing—as a derivative of applied mathematics—is a more theoretical discipline. Hence, the conditions of this meeting need to be analyzed sophisticatedly; not everything possible to implement is useful, and not everything useful is possi
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death and major disability among adults in the United States. To reduce the healthcare costs, improved methods of diagnosis, treatment, and prevention of these kinds of diseases are very important [.].
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Chemical Control of Ticks on Cattle, is related to the application at hand. To perform object identification in digital or continuous, moving or still images, humans make use of high-level reasoning and knowledge, as well as of different visual cues, such as shadowing, occlusion, parallax motion, and the relative size of objects. Asid
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Computerized Analysis and Vasodilation Parameterization in Flow-Mediated Dilation Tests from Ultras-mode ultrasonography (US) is a cheap and noninvasive way to estimate this dilation response [.]. However, complementary computerized image analysis techniques are still very desirable to give accuracy and objectivity to the measurements [.].
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Simultaneous Fuzzy Segmentation of Medical Images,e becomes particularly hard for a computer when, instead of the brightness values, what distinguishes the object from the background is some textural property, or when the image is corrupted by noise and/or inhomogeneos illumination.
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a real system for effective use in biomedical applications t.Handbook of Biomedical Image Analysis: Segmentation Models. (Volume II) is dedicated to the segmentation of complex shapes from the field of imaging sciences using different mathematicaltechniques. This volume is aimed at researchers and e
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https://doi.org/10.1007/978-1-4419-0068-5-mode ultrasonography (US) is a cheap and noninvasive way to estimate this dilation response [.]. However, complementary computerized image analysis techniques are still very desirable to give accuracy and objectivity to the measurements [.].
作者: 可用    時(shí)間: 2025-3-28 15:01
Image segmentation, a process that aims at identifying and separating regions of interests from an image, is crucial in many medical applications such as localizing pathological regions, providing objective quantative assessment and monitoring of the onset and progression of the diseases,as well as analysis of anatomical structures.
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Das Archetypen-Meridian-System,e been shown to be useful for 3-D modeling of anatomical structures to improve their extraction and quantification [.–.]. In this chapter, we describe an approach to enhancement, description, and quantification of the anatomical structures characterized by second-order 3D local structures, that is, line, sheet, and blob structures.
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Jasjit S. Suri,David L. Wilson,Swamy LaxminarayanFirst time a work is being written which covers the role of image segmentation and image registration together.Three-volume set constitutes a real system for effective use in biomedical applications t
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Topics in Biomedical Engineering. International Book Serieshttp://image.papertrans.cn/h/image/420904.jpg
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https://doi.org/10.5822/978-1-61091-232-7 majors role and where the practical use is evident, image processing—as a derivative of applied mathematics—is a more theoretical discipline. Hence, the conditions of this meeting need to be analyzed sophisticatedly; not everything possible to implement is useful, and not everything useful is possible to implement.
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https://doi.org/10.1007/978-94-017-3526-1 in the last 15–20 years. Significant work has been done and reported for breast cancer imaging with particular emphasis on mammography. The reasons for the impressive volume of work in this field include
作者: 預(yù)定    時(shí)間: 2025-3-30 06:43
Vermeil and Marguet, 1967 (Figs. 16 and 17)nosis, monitoring, radiotherapy, and surgical planning. The availability of efficient segmentation methods is a critical issue especially in the case of large 3-D medical datasets as obtained today by the routine use of 3-D imaging methods like magnetic resonance imaging (MRI), computer tomography (CT), and ultrasound (US).
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