[PDF.40ai] Marginal Space Learning for Medical Image Analysis: Efficient Detection and Segmentation of Anatomical Structures

Marginal Space Learning for Medical Image Analysis: Efficient Detection and Segmentation of Anatomical Structures

[PDF.pe04] Marginal Space Learning for Medical Image Analysis: Efficient Detection and Segmentation of Anatomical Structures

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 | #4982779 in Books |  2014-04-17 | Original language:English | PDF # 1 |  9.21 x.69 x6.14l,1.28 | File type: PDF | 268 pages

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Automatic detection and segmentation of anatomical structures in medical images are prerequisites to subsequent image measurements and disease quantification, and therefore have multiple clinical applications. This book presents an efficient object detection and segmentation framework, called Marginal Space Learning, which runs at a sub-second speed on a current desktop computer, faster than the state-of-the-art. Trained with a sufficient number of data sets, Marginal...

You can specify the type of files you want, for your device.Marginal Space Learning for Medical Image Analysis: Efficient Detection and Segmentation of Anatomical Structures   |  Yefeng Zheng, Dorin Comaniciu.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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