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» Breast cancer detection by time reversal imaging
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ISBI
2002
IEEE
14 years 7 months ago
Support vector machine learning for detection of microcalcifications in mammograms
Microcalcification (MC) clusters in mammograms can be an indicator of breast cancer. In this work we propose for the first time the use of support vector machine (SVM) learning fo...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
BMCBI
2010
89views more  BMCBI 2010»
13 years 6 months ago
Semi-automatic identification of punching areas for tissue microarray building: the tubular breast cancer pilot study
Background: Tissue MicroArray technology aims to perform immunohistochemical staining on hundreds of different tissue samples simultaneously. It allows faster analysis, considerab...
Federica Viti, Ivan Merelli, Mieke Timmermans, Mic...
MIMI
2007
Springer
14 years 25 days ago
CAD on Brain, Fundus, and Breast Images
Three computer-aided detection (CAD) projects are hosted at the Gifu University, Japan as part of the “Knowledge Cluster Initiative” of the Japanese Government. These projects ...
Hiroshi Fujita, Yoshikazu Uchiyama, Toshiaki Nakag...
ECCV
2004
Springer
14 years 2 days ago
Computer-Aided Measurement of Solid Breast Tumor Features on Ultrasound Images
This paper presents a new approach in the application of computer vision techniques to the diagnosis of solid breast tumors on ultrasound images. Most works related to medical imag...
Miguel Alemán-Flores, Patricia Alemá...
CG
2010
Springer
13 years 6 months ago
A visual analytics approach to diagnosis of breast DCE-MRI data
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the breast has become an important image modality for early breast cancer detection. In comparison to conventiona...
Sylvia Glaßer, Uta Preim, Klaus D. Tönn...