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» Lectures on Medical Image Analysis
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CIARP
2007
Springer
14 years 1 months ago
Image Segmentation Using Automatic Seeded Region Growing and Instance-Based Learning
Segmentation through seeded region growing is widely used because it is fast, robust and free of tuning parameters. However, the seeded region growing algorithm requires an automat...
Octavio Gómez, Jesús A. Gonzá...
JMM2
2007
221views more  JMM2 2007»
13 years 7 months ago
Automatic Extraction of Femur Contours from Calibrated X-Ray Images using Statistical Information
— Automatic identification and extraction of bone contours from x-ray images is an essential first step task for further medical image analysis. In this paper we propose a 3D s...
Xiao Dong, Miguel Ángel González Bal...
WSCG
2004
264views more  WSCG 2004»
13 years 9 months ago
Image Registration Exploiting Five-Point Coplanar Perspective Invariant and Maximum-Curvature Point
Image registrations have been a subject of extensive study over the last decade. They appear in numerous applications including Computer Vision, Pattern Recognition, Medical Image...
Parichart Putjarupong, Chuchart Pintavirooj, Witha...
KDD
2006
ACM
142views Data Mining» more  KDD 2006»
14 years 8 months ago
Automatic mining of fruit fly embryo images
We present FEMine, an automatic system for image-based gene expression analysis. We perform experiments on the largest publicly available collection of Drosophila ISH (in situ hyb...
Jia-Yu Pan, André G. R. Balan, Eric P. Xing...
3DIM
2005
IEEE
14 years 1 months ago
Simultaneous Determination of Registration and Deformation Parameters among 3D Range Images
Conventional registration algorithms are mostly concerned with rigid-body transformation parameters between a pair of 3D range images. Our proposed framework aims to determine, in...
Tomohito Masuda, Yuichiro Hirota, Katsushi Ikeuchi...