Titlebook: Medical Computer Vision; Recognition Techniqu Bjoern Menze,Georg Langs,Antonio Criminisi Conference proceedings 2011 Springer Berlin Heidel

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Regression Forests for Efficient Anatomy Detection and Localization in CT Studiesures within three-dimensional CT scans..Regression forests are similar to the more popular classification forests, but trained to predict . outputs. We introduce a new, continuous parametrization of the anatomy localization task which is effectively addressed by regression forests. This is shown to

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Correcting Misalignment of Automatic 3D Detection by Classification: Ileo-Cecal Valve False Positivection of ICV is of great clinical value for removing false positive (FP) findings in computer aided diagnosis (CAD) of colon cancers using CT colongraphy (CTC) [1,2,3]. However full 3D object detection, especially for small objects with large shape and pose variations as ICV, is very challenging. Th

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