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» Automatic Brain and Tumor Segmentation
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ISBI
2002
IEEE
14 years 8 months ago
Automatic segmentation of mammographic masses using fuzzy shadow and maximum-likelihood analysis
This study attempted to accurately segment tumors in mammograms. Although this task is considered to be a preprocessing step in a computer analysis program, it plays an important ...
Lisa Kinnard, Shih-Chung Ben Lo, Paul C. Wang, Mat...
ICIP
2008
IEEE
14 years 9 months ago
Automatic liver tumor diagnosis with Dynamic-Contrast Enhanced MRI
Dynamic-Contrast Enhanced MRI (DCE-MRI) is currently used as a complementary diagnosis tool to assess the malignancy of the liver tumor, called hepatoma, hepatocarcinoma, hepatoce...
Liliana Caldeira, Isabela Silva, João Sanch...
VIS
2004
IEEE
161views Visualization» more  VIS 2004»
14 years 8 months ago
Automatic Fast Detection of Tumor Suspect Areas on CT Scan
Our research deals with a fully automatic and fast visualization of possible tumoral areas on CT Scan images. To achieve this task, we use the bilateral symmetry of the human body...
Benoit M. Macq, Bernard Gosselin, Matei Mancas
ISBI
2006
IEEE
14 years 8 months ago
Automatic MRI brain tissue segmentation using a hybrid statistical and geometric model
This paper presents a novel hybrid segmentation technique incorporating a statistical as well as a geometric model in a unified segmentation scheme for brain tissue segmentation o...
Albert Huang, Rafeef Abugharbieh, Roger Tam, Antho...
BILDMED
2008
178views Algorithms» more  BILDMED 2008»
13 years 9 months ago
Automatic Segmentation of the Cortical Grey and White Matter in MRI Using a Region-Growing Approach Based on Anatomical Knowledg
Abstract We propose an automatic procedure for the correct segmentation of grey and white matter in MR data sets of the human brain. Our method exploits general anatomical knowledg...
Christian Wasserthal, Karin Engel, Karsten Rink, A...