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Titlebook: Medical Image Computing and Computer-Assisted Intervention - MICCAI‘99; Second International Chris Taylor,Alain Colchester Conference proce

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書(shū)目名稱(chēng)Medical Image Computing and Computer-Assisted Intervention - MICCAI‘99
副標(biāo)題Second International
編輯Chris Taylor,Alain Colchester
視頻videohttp://file.papertrans.cn/630/629270/629270.mp4
概述Includes supplementary material:
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Medical Image Computing and Computer-Assisted Intervention - MICCAI‘99; Second International Chris Taylor,Alain Colchester Conference proce
出版日期Conference proceedings 1999
關(guān)鍵詞Biomechanics; Computer Vision; Diffusion; Medical Image Processing; Segmentation; Surgical Planning; image
版次1
doihttps://doi.org/10.1007/10704282
isbn_softcover978-3-540-66503-8
isbn_ebook978-3-540-48232-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1999
The information of publication is updating

書(shū)目名稱(chēng)Medical Image Computing and Computer-Assisted Intervention - MICCAI‘99影響因子(影響力)




書(shū)目名稱(chēng)Medical Image Computing and Computer-Assisted Intervention - MICCAI‘99影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Medical Image Computing and Computer-Assisted Intervention - MICCAI‘99網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Medical Image Computing and Computer-Assisted Intervention - MICCAI‘99網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Medical Image Computing and Computer-Assisted Intervention - MICCAI‘99被引頻次




書(shū)目名稱(chēng)Medical Image Computing and Computer-Assisted Intervention - MICCAI‘99被引頻次學(xué)科排名




書(shū)目名稱(chēng)Medical Image Computing and Computer-Assisted Intervention - MICCAI‘99年度引用




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書(shū)目名稱(chēng)Medical Image Computing and Computer-Assisted Intervention - MICCAI‘99讀者反饋




書(shū)目名稱(chēng)Medical Image Computing and Computer-Assisted Intervention - MICCAI‘99讀者反饋學(xué)科排名




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Interactive Direct Volume Rendering of Dural Arteriovenous Fistulae in MR-CISS Datae-defined color lookup tables with a few manipulation operations. Thereby, the tiny target vessels contained within the area of cerebrospinal fluid are clearly delineated. Overall, the presented non-invasive approach ensures an optimal spatial understanding of vessel structures in relation to the su
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Segmentation of White Matter Lesions from Volumetric MR Imagespplied to detect the white matter lesions and relevant structures from a set of 41 MR images of normal and pathological subjects. Subjective assessment of the results demonstrates a high performance and reliability of this method.
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