| 期刊全稱 | Biomedical Image Analysis | | 期刊簡稱 | Segmentation | | 影響因子2023 | Scott T. Acton,Nilanjan Ray | | 視頻video | http://file.papertrans.cn/189/188047/188047.mp4 | | 學(xué)科分類 | Synthesis Lectures on Image, Video, and Multimedia Processing | | 圖書封面 |  | | 影響因子 | The sequel to the popular lecture book entitled Biomedical Image Analysis: Tracking, this book on Biomedical Image Analysis: Segmentation tackles the challenging task of segmenting biological and medical images. The problem of partitioning multidimensional biomedical data into meaningful regions is perhaps the main roadblock in the automation of biomedical image analysis. Whether the modality of choice is MRI, PET, ultrasound, SPECT, CT, or one of a myriad of microscopy platforms, image segmentation is a vital step in analyzing the constituent biological or medical targets. This book provides a state-of-the-art, comprehensive look at biomedical image segmentation that is accessible to well-equipped undergraduates, graduate students, and research professionals in the biology, biomedical, medical, and engineering fields. Active model methods that have emerged in the last few years are a focus of the book, including parametric active contour and active surface models, active shape models,and geometric active contours that adapt to the image topology. Additionally, Biomedical Image Analysis: Segmentation details attractive new methods that use graph theory in segmentation of biomedical | | Pindex | Book 2009 |
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