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» Two Methods for Validating Brain Tissue Classifiers
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MICCAI
2006
Springer
14 years 8 months ago
Atlas Guided Identification of Brain Structures by Combining 3D Segmentation and SVM Classification
Abstract. This study presents a novel automatic approach for the identification of anatomical brain structures in magnetic resonance images (MRI). The method combines a fast multis...
Ayelet Akselrod-Ballin, Meirav Galun, Moshe John G...
TMI
2002
248views more  TMI 2002»
13 years 7 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
ISBI
2009
IEEE
14 years 2 months ago
Cardiac Tissue and Erythrocyte Separation in Bright-Field Microscopy Images of the Embryonic Zebrafish Heart for Motion Estimati
Bright-field (BF) microscopy enables imaging the beating embryonic zebrafish heart at high frame rates, thereby revealing motion of both tissues that form the heart and red bloo...
Sandeep Bhat, Michael Liebling
CORR
2010
Springer
214views Education» more  CORR 2010»
13 years 7 months ago
Hybrid Medical Image Classification Using Association Rule Mining with Decision Tree Algorithm
The main focus of image mining in the proposed method is concerned with the classification of brain tumor in the CT scan brain images. The major steps involved in the system are: p...
P. Rajendran, M. Madheswaran
ICIP
1997
IEEE
14 years 9 months ago
Surrounding Region Dependence Method for Detection of Clustered Microcalcifications on Mammograms
Clustered microcalcifications on X-ray mammograms are an important feature in the detection of breast cancer. For the detection of the clustered microcalcifications on digitized m...
Jong-Kook Kim, Hyun Wook Park