| 書目名稱 | Landmarking and Segmentation of 3D CT Images | | 編輯 | Shantanu Banik,Rangaraj M. Rangayyan,Graham S. Boa | | 視頻video | http://file.papertrans.cn/581/580647/580647.mp4 | | 叢書名稱 | Synthesis Lectures on Biomedical Engineering | | 圖書封面 |  | | 描述 | Segmentation and landmarking of computed tomographic (CT) images of pediatric patients are important and useful in computer-aided diagnosis (CAD), treatment planning, and objective analysis of normal as well as pathological regions. Identification and segmentation of organs and tissues in the presence of tumors are difficult. Automatic segmentation of the primary tumor mass in neuroblastoma could facilitate reproducible and objective analysis of the tumor‘s tissue composition, shape, and size. However, due to the heterogeneous tissue composition of the neuroblastic tumor, ranging from low-attenuation necrosis to high-attenuation calcification, segmentation of the tumor mass is a challenging problem. In this context, methods are described in this book for identification and segmentation of several abdominal and thoracic landmarks to assist in the segmentation of neuroblastic tumors in pediatric CT images. Methods to identify and segment automatically the peripheral artifacts and tissues, the rib structure, the vertebral column, the spinal canal, the diaphragm, and the pelvic surface are described. Techniques are also presented to evaluate quantitatively the results of segmentation o | | 出版日期 | Book 2009 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-01635-6 | | isbn_softcover | 978-3-031-00507-7 | | isbn_ebook | 978-3-031-01635-6Series ISSN 1930-0328 Series E-ISSN 1930-0336 | | issn_series | 1930-0328 | | copyright | Springer Nature Switzerland AG 2009 |
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