文献类型： 会议论文
第一作者： Ruida Cheng
作者： Ruida Cheng 1 ; Baris Turkbey 2 ; William Gandler 1 ; Harsh K. Agarwal 2 ; Vijay P. Shah 3 ; Alexandra Bokinsky 4 ; Evan McCreedy 1 ; Shijun Wang 5 ; Sandeep Sankineni 2 ; Marcelino Bernardo 2 ; Thomas Pohida 1 ; Peter Choyke 2 ; Matthew J. McAuliffe 1 ;
作者机构： 1.Image Science Laboratory, Center of Information Technology, National Institutes of Health
2.Molecular Imaging Program, National Cancer Institute
3.VirtualScopics, Inc
4.Geometric Tools, Inc
5.Imaging Biomarker and CAD Laboratory, NIH Clinical Center
会议名称： Annual International Conference of the IEEE Engineering in Medicine and Biology Society
主办单位：
页码： 2881-2885
摘要： Automatic prostate segmentation in MR images is a challenging task due to inter-patient prostate shape and texture variability, and the lack of a clear prostate boundary. We propose a supervised learning framework that combines the atlas based AAM and SVM model to achieve a relatively high segmentation result of the prostate boundary. The performance of the segmentation is evaluated with cross validation on 40 MR image datasets, yielding an average segmentation accuracy near 90%.
分类号： Q81-53
- 相关文献
作者其他论文 更多>>
-
Extraction of Settlements in Plains and Mountainous Areas Based on High-Resolution Remote Sensing Data and SAM Segmentation Algorithm
作者：Miao Liu;Shijun Wang;Zhenhai Li;Jing Chen
关键词：Support vector machines;Radio frequency;Image segmentation;Accuracy;Market research;Spatiotemporal phenomena;Classification algorithms;Data mining;Protection;Remote sensing
-
DEEP LEARNING WITH ORTHOGONAL VOLUMETRIC HED SEGMENTATION AND 3D SURFACE RECONSTRUCTION MODEL OF PROSTATE MRI
作者：Ruida Cheng;Nathan Lay;Francesca Mertan;Baris Turkbey;Holger R. Roth;Le Lu;William Gandler;Evan S. McCreedy;Thomas Pohida;Peter Choyke;Matthew J. McAuliffe;Ronald M. Summers
关键词：Prostate segmentation;HED;Deep learning
-
BIOPSY-GUIDED LEARNING WITH DEEP CONVOLUTIONAL NEURAL NETWORKS FOR PROSTATE CANCER DETECTION ON MULTIPARAMETRIC MRI
作者：Yohannes Tsehay;Nathan Lay;Xiaosong Wang;Jin Tae Kwak;Baris Turkbey;Peter Choyke;Peter Pinto;Brad Wood;Ronald M. Summers
关键词：Biopsy Database;Prostate;Holistically-nested Edge Detection;Computer-Aided Detection;Prostate-CAD;Radiology
-
Automatic Segmentation of Kidneys from Non-Contrast CT Images Using Efficient Belief Propagation
作者：Ronald M. Summers;Jianfei Liu;Marius George Linguraru;Shijun Wang
关键词：Kidney segmentation;extracolonic finding;CT colonography;belief propagation;Markov random field
-
Sequential Monte Carlo Tracking for Marginal Artery Segmentation on CT Angiography by Multiple Cue Fusion
作者：Shijun Wang;Brandon Peplinski;Le Lu;Weidong Zhang;Jianfei Liu;Zhuoshi Wei;Ronald M. Summers
关键词：Sequential Monte Carlo tracking;multiple cues;particle filtering;marginal artery;CT angiography
-
AUGMENTING TUMOR SENSITIVE MATCHING FLOW TO IMPROVE DETECTION AND SEGMENTATION OF OVARIAN CANCER METASTASES WITHIN A PDE FRAMEWORK
作者：Jianfei Liu;Shijun Wang;Marius George Linguraru;Jianhua Yao;Ronald M. Summers
关键词：Ovarian cancer metastases;Tumor sensitive matching flow;Tumor segmentation
-
A prostate cancer computer-aided diagnosis system using multimodal magnetic resonance imaging and targeted biopsy labels
作者：Peter Liu;Shijun Wang;Boris Turkbey;Kinzya Grant;Peter Pinto;Peter Choyke;Bradford J. Wood;Ronald M. Summers
关键词：Prostate cancer imaging;multimodality analysis;statistical learning;computer-aided diagnosis;biopsy label;MRI
