Titlebook: Machine Learning in Medical Imaging; Second International Kenji Suzuki,Fei Wang,Pingkun Yan Conference proceedings 2011 Springer-Verlag Gmb

Heterodoxy

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雪白

Automated Identification of Thoracolumbar Vertebrae Using Orthogonal Matching Pursuit,he maximum intensity projection (MIP) images. The performance of the proposed method in terms of accuracy and speed has been validated by experimental results on hundreds of CT images collected from various clinical sites.

enhance

debase

Learning Statistical Correlation of Prostate Deformations for Fast Registration,rapy of the prostate cancer. Specifically, an online correspondence interpolation method is presented to learn the statistical correlation of the deformations between prostate boundary and non-boundary regions from a population of training patients, as well as from the online-collected treatment ima

effrontery

Introduction

Computer-Assisted Intramedullary Nailing Using Real-Time Bone Detection in 2D Ultrasound Images, Surgery system to assist the surgeon during the locking of the intramedullary nail in tibia fractures reduction. It is a three main steps method: first, a vertical gradient is applied to extract potential segments of bone from 2D US images, and then, a new method based on shortest path is used to e

嘲笑

Multi-Kernel Classification for Integration of Clinical and Imaging Data: Application to Predictionological and neuropsychological measurements. While it is reasonable to expect that the integration of neuroimaging data and complementary non-imaging measures is likely to improve early diagnosis on individual basis, due to technical challenges associated with the task of combining different data t

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Automated Selection of Standardized Planes from Ultrasound Volume, the standardized planes would be beneficial in advancing the use of volumetric ultrasound for clinical diagnosis. In this paper, we propose a new method to automatically select the standard plane from the fetal ultrasound volume for the application of fetal biometry measurement. To our knowledge, t