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» A boosting regression approach to medical anatomy detection
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MEDINFO
2007
116views Healthcare» more  MEDINFO 2007»
13 years 6 months ago
Improving Computer Aided Disease Detection Using Knowledge of Disease Appearance
The accurate quantification of disease patterns in medical images allows radiologists to track the progress of a disease. Various computer vision techniques are able to automatica...
Tatjana Zrimec, James S. J. Wong
MAMMO
2010
Springer
13 years 6 months ago
A Boosting Based Approach for Automatic Micro-calcification Detection
Abstract. In this paper we present a boosting based approach for automatic detection of micro-calcifications in mammographic images. Our proposal is based on using local features e...
Arnau Oliver, Albert Torrent, Meritxell Tortajada,...
ISBI
2006
IEEE
14 years 5 months ago
Bayesian registration for anatomical landmark detection
In order to perform medical image registration, landmarks are used to settle correspondences between images. A landmark is a voxel in the image that corresponds to a well-defined ...
Camille Izard, Bruno Jedynak
TMI
2010
172views more  TMI 2010»
13 years 3 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...
AAAI
2011
12 years 4 months ago
Incorporating Boosted Regression Trees into Ecological Latent Variable Models
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Diet...