TITLE: Clinically Practical Magnetic Resonance Protocol for Improved Specificity in Breast Cancer Diagnosis PRINCIPAL INVESTIGATOR:

Gadolinium-Diethylenetriaminepenta-Acetic acid Conjugated with Monoclonal Antibody C595 as New Magnetic Resonance Imaging Contrast Agents for Breast Cancer (MCF-7) Detection

Background: The monoclonal antibody, C595, against breast cancer cell line was conjugated with cyclic anhydride gadolinium-diethylenetriaminepenta-acetic acid (Gd-cDTPAa) to produce Gd-DTPA-C595 and used as specific breast cancer cell line (MCF-7) contrast agents in magnetic resonance imaging (MRI).  Methods: After incubation of breast cancer cell line (MCF-7), with different contrast agents (G...

Award Number : W 81 XWH - 08 - 1 - 0640 TITLE : Expression of Endogenous Suppressors of HER 2 Overexpression in Breast Cancer PRINCIPAL INVESTIGATOR : Kermit L . Carraway

Feature selection using genetic algorithm for breast cancer diagnosis: experiment on three different datasets

Objective(s): This study addresses feature selection for breast cancer diagnosis. The present process uses a wrapper approach using GA-based on feature selection and PS-classifier. The results of experiment show that the proposed model is comparable to the other models on Wisconsin breast cancer datasets. Materials and Methods: To evaluate effectiveness of proposed feature selection method, we ...

AD AWARD NUMBER DAMD17-97-1-7144 TITLE: Tomosynthesis Breast Imaging: Early Detection and Characterization of Breast Cancer PRINCIPAL INVESTIGATOR:

AWARD NUMBER DAMD17-97-1-7144 TITLE: Tomosynthesis Breast Imaging: Early Detection and Characterization of Breast Cancer PRINCIPAL INVESTIGATOR: Loren T. Niklason, Ph.D. CONTRACTING ORGANIZATION: Massachusetts General Hospital Boston, Massachusetts 02114 REPORT DATE: July 1998 ^\$> TYPE OF REPORT: Annual "P^ PREPARED FOR: Commander U.S. Army Medical Research and Materiel Command Fort Detrick, M...

Breast Cancer Diagnosis from Perspective of Class Imbalance

Introduction: Breast cancer is the second cause of mortality among women. Early detection is the only rescue to reduce the risk of breast cancer mortality. Traditional methods cannot effectively diagnose tumor since they are based on the assumption of well-balanced dataset.. However, a hybrid method can help to alleviate the two-class imbalance problem existing in the ...