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ICCS
2004
Springer
13 years 11 months ago
Adaptive Microcalcification Detection in Computer Aided Diagnosis
Abstract. Microcalcification detection is an important part of early breast cancer detection. In this paper, we propose a microcalcification detection method in mammography CAD (co...
Ho Kyung Kang, Sung-Min Kim, Nguyen N. Thanh, Yong...
ICDM
2007
IEEE
118views Data Mining» more  ICDM 2007»
13 years 12 months ago
Predictive Data Mining for Lung Nodule Interpretation
Diagnostic decision-making in pulmonary medical imaging has been improved by computer-aided diagnosis (CAD) systems, serving as second readers to detect suspicious nodules for dia...
William Horsthemke, Ekarin Varutbangkul, Daniela S...
ECCV
2004
Springer
13 years 11 months 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...
TMI
2008
93views more  TMI 2008»
13 years 5 months ago
Regional Admittivity Spectra With Tomosynthesis Images for Breast Cancer Detection: Preliminary Patient Study
It has been known for some time that many tumors have a significantly different conductivity and permittivity from surrounding normal tissue. This high "contrast" in tiss...
Tzu-Jen Kao, Gregory Boverman, Bong Seok Kim, Davi...
MICCAI
2004
Springer
14 years 6 months ago
Predicting Tumour Location by Simulating Large Deformations of the Breast Using a 3D Finite Element Model and Nonlinear Elastici
Two of the major imaging modalities used to detect and monitor breast cancer are (contrast enhanced) magnetic resonance (MR) imaging and mammography. Image fusion, including accura...
Pras Pathmanathan, David Gavaghan, Jonathan Whitel...