226views more  JDCTA 2010»
12 years 9 months ago
An Automatic-Pre-processing Method For Mammographic Images
Screening mammography represents the technique adopted to detect breast cancer at an early stage. However the presence of artifacts and pectoral muscle can disturb the detection o...
Ali Cherif Chaabani, Atef Boujelben, Adel Mahfoudh...

12 years 11 months ago
A New Preprocessing Filter for Digital Mammogram
This paper presents a computer-aided approach to enhancing suspicious lesions in digital mammograms. The developed algorithm improves on a well-known preprocessor filter named cont...
Peyman Rahmati, Ghassan Hamarneh, Doron Nussbaum, ...
13 years 17 days ago
A Data Mining Approach for the Detection of High-Risk Breast Cancer Groups
It is widely agreed that complex diseases are typically caused by the joint effects of multiple instead of a single genetic variation. These genetic variations may show very little...
Orlando Anunciação, Bruno C. Gomes, ...
13 years 17 days ago
A Breast Cancer Classifier based on a Combination of Case-Based Reasoning and Ontology Approach
Breast cancer is the second most common form of cancer amongst females and also the fifth most cause of cancer deaths worldwide. In case of this particular type of malignancy, earl...
Essam AbdRabou, Abdel-Badeeh Salem
13 years 1 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...
121views more  ARTMED 2002»
13 years 2 months ago
An evolutionary artificial neural networks approach for breast cancer diagnosis
This paper presents an evolutionary artificial neural network approach based on the pareto differential evolution algorithm augmented with local search for the prediction of breas...
Hussein A. Abbass
150views more  SIGKDD 2008»
13 years 2 months ago
Learning to improve area-under-FROC for imbalanced medical data classification using an ensemble method
This paper presents our solution for KDD Cup 2008 competition that aims at optimizing the area under ROC for breast cancer detection. We exploited weighted-based classification me...
Hung-Yi Lo, Chun-Min Chang, Tsung-Hsien Chiang, Ch...
116views more  GPEM 2007»
13 years 2 months ago
Using evolvable genetic cellular automata to model breast cancer
Cancer is an evolutionary process; mutated cells are selected for abnormal growth and survivability. Here, a computer simulation is used to model ductal carcinoma in situ (DCIS), ...
Armand Bankhead, Robert B. Heckendorn
142views more  BMCBI 2006»
13 years 2 months ago
PedGenie: an analysis approach for genetic association testing in extended pedigrees and genealogies of arbitrary size
Background: We present a general approach to perform association analyses in pedigrees of arbitrary size and structure, which also allows for a mixture of pedigree members and ind...
Kristina Allen-Brady, Jathine Wong, Nicola J. Camp
145views Education» more  CORR 2010»
13 years 2 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