Medical imaging systems often require the application of image enhancement techniques to
help physicians in anomaly/abnormality detection and diagnosis, as well as to improve the …

Most medical images suffer from inadequate contrast and brightness, which leads to blurred
or weak edges (low contrast) between adjacent tissues resulting in poor segmentation and …

Medical images play a significant role in modern diagnosis but often suffer from non-
uniformity and low-luminance, which always affects the results of diagnosis and even leads …

In this paper we survey the 3𝐷 reconstruction of an object from its 2𝐷 cross-sections has
many applications in different fields of sciences such as medical physics and biomedical …

Background: Existing knee cartilage segmentation methods have reported several technical
drawbacks. In essence, graph cuts remains highly susceptible to image noise despite …

Knee osteoarthritis is the second most dreadful disease after cardiovascular diseases.
Affected patients will not have any effective cure and face the risk of undergoing total knee …

Although interactive segmentation helps lower the degree of human intervention, further
upgrade to increase the efficiency and intuitiveness of interactive segmentation method …

In medical image segmentation, manual segmentation is considered both labor-and time-
intensive while automated segmentation often fails to segment anatomically intricate …

We consider the weighted-multi-degree reduction of Bézier curves. Based on the fact that
exact degree reduction is not possible, therefore approximative process to reduce a given …

Knee Osteoarthritis (OA) is a most prevalent joint disease that can be diagnosed by
measuring physiology and morphology of knee joint organs using Magnetic Resonance …