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CORR
2010
Springer
145views Education» more  CORR 2010»
13 years 5 months ago
Detection and Demarcation of Tumor using Vector Quantization in MRI images
Segmenting a MRI images into homogeneous texture regions representing disparate tissue types is often a useful preprocessing step in the computer-assisted detection of breast canc...
H. B. Kekre, Tanuja K. Sarode, Saylee M. Gharge
AUSAI
2003
Springer
13 years 10 months ago
A Case Study in Feature Invention for Breast Cancer Diagnosis Using X-Ray Scatter Images
Abstract. X-ray mammography is the current clinical method for screening for breast cancer, and like any technique, has its limitations. Several groups have reported differences i...
Shane M. Butler, Geoffrey I. Webb, Rob A. Lewis
ISBI
2008
IEEE
13 years 12 months ago
Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology
Automated detection and segmentation of nuclear and glandular structures is critical for classification and grading of prostate and breast cancer histopathology. In this paper, w...
Shivang Naik, Scott Doyle, Shannon Agner, Anant Ma...
MAMMO
2010
Springer
13 years 3 months ago
Classifying Breast Masses in Volumetric Whole Breast Ultrasound Data: A 2.5-Dimensional Approach
The aim of this paper is to investigate a 2.5-dimensional approach in classifying masses as benign or malignant in volumetric anisotropic voxel whole breast ultrasound data. In thi...
Gobert N. Lee, Toshiaki Okada, Daisuke Fukuoka, Ch...
WSTST
2005
Springer
13 years 11 months ago
Hybrid Neurocomputing for Breast Cancer Detection
Breast cancer is one of the major tumor related cause of death in women. Various artificial intelligence techniques have been used to improve the diagnoses procedures and to aid t...
Yuehui Chen, Ajith Abraham, Bo Yang