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This paper describes a flexible new method for accurate cone-beam reconstruction with source position on a helical orbit, which is called hybrid filter method. The inversion formula employed by this hybrid filter method is based on first applying Hilbert and ramp transforms for a combination with a simple rotation angular derivative and a direct weight in the projection space and then backprojecting...
The active contours model (ACM) is an active researching area in medical image segmentation. In traditional ACM model, boundary of region of interest (ROI) can be obtained by deforming the spline curve. But the segmentation relies on the initial location of the curve which is apt to be converged to the local gradient maximum region. Moreover, the model cannot segment the concave region accurately...
In lung cancer image classification, the label concepts are usually given out for the whole image but not for a single cell, which leads to a low predict accuracy if we use supervised learning methods on cell-level. In this paper, we model lung cancer image classification as a multi-class multi-instance learning problem. A lung cancer image is treated as a bag. Each bag contains a set of instances...
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