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Titlebook: Digital Mammography; 10th International W Joan Martí,Arnau Oliver,Robert Martí Conference proceedings 2010 Springer-Verlag Berlin Heidelber

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發(fā)表于 2025-3-25 05:58:04 | 只看該作者
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發(fā)表于 2025-3-25 08:03:52 | 只看該作者
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發(fā)表于 2025-3-25 15:40:55 | 只看該作者
State Feedback , Optimal Controlll field digital mammography. The impact of CAD on the time taken to read screening films (n=5710) and on the proportion of films referred for arbitration and for assessment was measured (n=3064). No evidence was found of a change in the time taken to read films and no evidence of a change in rates
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發(fā)表于 2025-3-25 17:16:44 | 只看該作者
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發(fā)表于 2025-3-26 01:03:47 | 只看該作者
Approximation-Based Adaptive Controlal breast tissue structure and function. We propose an intensity-based technique with a 3D volume-preserving affine transformation. An important part of our framework is the use of an Expectation-Maximization (EM) algorithm, with a Markov Random Field (MRF) regularization, that is used for breast ti
27#
發(fā)表于 2025-3-26 08:19:37 | 只看該作者
State Feedback H∞ Optimal Controlesentation. We use a wavelet-based enhancement method to both automatically and interactively adjust the contrast of these previously processed mammograms. Apart from enhancing small but relevant structures in dense breast tissue, this method allows for the automatic homogenization of cross-vendor c
28#
發(fā)表于 2025-3-26 11:08:19 | 只看該作者
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發(fā)表于 2025-3-26 20:50:19 | 只看該作者
Lutz Dümbgen,Katrin Gysel,Fabrice PerlerThese models are also commonly referred to as digital phantoms. We have created an ensemble of digital breast object phantoms based on CT scans of surgical mastectomy specimens. Early versions of the phantoms have been used in our published research. Recently we have improved some of our processing
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