Titlebook: Machine Learning in Medical Imaging; First International Fei Wang,Pingkun Yan,Dinggang Shen Conference proceedings 2010 Springer-Verlag Be

acquisition

Manifold Learning for Biomarker Discovery in MR Imaging,ge data. The coordinates of each image in such a low-dimensional space captures information about structural shape and appearance and, when a phenotype exists, about the subject’s clinical state. A key contribution is that we propose a method for incorporating longitudinal image information in the l

Soliloquy

Optimal Live Cell Tracking for Cell Cycle Study Using Time-Lapse Fluorescent Microscopy Images,ancer drugs. Cell tracking is necessary for quantifying cell behaviors. However, the complex behaviors and similarity of individual cells in a dense population make the cell population tracking challenging. To deal with these challenges, we propose a novel tracking algorithm, in which the local neig

冒烟

Fully Automatic Joint Segmentation for Computer-Aided Diagnosis and Planning, recorded radiographs. As this task is time-consuming and lacks objectivity, it is desirable to perform these measurements automatically via so-called computational imaging. This requires robust and accurate methods trained and proven on clinical data..We propose a fully automatic technique and pres

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