Increasing operational and security demands changed biometrics by shifting the focus from
single to multi-biometrics. Multi-biometrics are mandatory in the current context of large …

Classification of breast abnormalities such as masses is a challenging task for radiologists.
Computer-aided Diagnosis (CADx) technology may enhance the performance of …

Initial candidate segmentation is an important task in lung nodule detection. If an accurate
segmentation is used, the false positives (FPs) can be decreased in subsequent stages and …

Background: Breast cancer is one of the most common cancers in women. Mammogram
images have an important role in the treatment of various states of this cancer. In recent …

The extraction and recognition of a Thai vehicle license plate based on Maximally Stable
Extremal Regions (MSER) and Back-Propagation Neural Network (BPNN) is presented. The …

Thesis Title Page 1 IT 13 052 Examensarbete 30 hp Augusti 2013 Texture Feature Analysis
of Breast Lesions in Automated 3D Breast Ultrasound Haixia Liu Institutionen för …

The conventional optical flow has a fundamental limitation in handling motion details and
image registration. In this paper, we propose a Zernike moments descriptor matching based …

In this paper, we present a new segmentation approach for liver lesions in regions of interest
within MRI (Magnetic Resonance Imaging). This approach, based on a two-cluster Fuzzy C …

Rapid development of nanosatellites has led to many unique and innovative space
applications. These tiny satellites have come a long way since Sputnik, the first satellite that …

Since mammography images are in low-contrast, applying enhancement techniques as a
pre-processing step are wisely recommended in the classification of the abnormal lesions …