可用
发表于 2025-3-28 15:01:24
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.
ABIDE
发表于 2025-3-28 21:40:22
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.
小教堂
发表于 2025-3-29 01:39:17
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放纵
发表于 2025-3-29 05:37:25
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
Leisureliness
发表于 2025-3-29 08:44:39
Topics in Biomedical Engineering. International Book Serieshttp://image.papertrans.cn/h/image/420904.jpg
beta-cells
发表于 2025-3-29 11:49:11
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Medley
发表于 2025-3-29 17:49:56
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.
Biomarker
发表于 2025-3-29 23:37:21
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小木槌
发表于 2025-3-30 03:48:37
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
预定
发表于 2025-3-30 06:43:19
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).