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...
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...
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...
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...
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...
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...
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...
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), ...
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
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...