Learn More
Extracting the breast region accurately from a mammogram is a kernel stage for the breast mass analysis. It significantly influences the overall analysis accuracy and processing speed of the whole breast mass analysis. This paper presents an algorithm to extract the breast region from a mammogram. The presented algorithm first combines the median filtering,(More)
OBJECTIVE To determine the factors associated with hysteroscopic surgery long-term outcome in patients with intrauterine adhesions or submucosal myomas. METHODS Factors thought to be associated with outcome were retrospectively evaluated from the records of 591 patients who were followed up for at least 5years after undergoing hysteroscopic adhesiolysis(More)
In this paper, an adaptive DE-based reversible steganographic scheme with bilinear interpolation and simplified location map is proposed. In traditional reversible difference expansion (DE) scheme, it suffers from two problems: the embeddable location is considered insufficient and the embedding payload control capability in single layer embedding is weak.(More)
An imbalanced classification means that a dataset has an unequal class distribution among its population. For any given dataset, regardless of any balancing issue, the predictions made by most classification methods are highly accurate for the majority class but significantly less accurate for the minority class. To overcome this problem, this study took(More)