distribution of retinal blood vessels (rbvs) in retinal images has an important role in the prevention, diagnosis, monitoring and treatment of diseases, such as diabetes, high blood pressure, or heart disease. therefore, detection of the exact location of rbvs is very important for ophthalmologists. one of the frequently used techniques for extraction of these vessels is region growing-based se...

Segmenting the retinal vessels from fundus images is a prerequisite for many CAD systems for the automatic detection of diabetic retinopathy lesions. So far, research efforts have concentrated mainly on the accurate localization of the large to medium diameter vessels. However, failure to detect the smallest vessels at the segmentation step can lead to false positive lesion detection counts in ...

The accurate analysis of Coronary angiographic images plays an important role in diagnosing arterial diseases. All angiograms suffer from varying background, consisting of heart tissues, which harden accurate detection of vessels. Therefore removing background is one of the important steps which have essential effect on improving performance of subsequent steps of vessel detection algorithm, es...

In this paper presents , segmentation of blood vessels in retinal images based on neural network (NN) scheme of gray-level and moment invariants-based features. In the past, rural based methods are used segment the blood vessels. It has more complexity and less accuracy of blood vessels detection in retinal images. This paper proves better performance in terms of blood vessel detection in stare...

objectives in this study, the absorption coefficient of hemoglobin (hb) was used to distinguish between normal and abnormal breast tissue. materials and methods a near-infrared source (637 nm) was transmitted from major and minor vessels of a breast phantom containing 2×, 4× concentrations of oxy- and deoxy-hb. the absorption coefficients were determined from spectrometer (sm) and powermeter (p...

Retina images are obtained from the fundus camera and graded by skilled professionals. However there is considerable shortage of expert observers has encouraged computer assisted monitoring. Evaluation of blood vessels network plays an important task in a variety of medical diagnosis. Manifestations of numerous vascular disorders, such as diabetic retinopathy, depend on detection of the blood v...

Lung vessels often interfere with the detection of lung nodules. In this paper, a novel computer-aided lung nodule detection scheme on vessel segmentation is proposed. This paper describes an active contour model which can combine image region mean gray value and image edge energy. It is used to segment and remove lung vessels. A selective shape filter based on Hessian Matrix is used to detect ...

Segmentation is one of the major steps in the analysis of medical images, as it outputs the attributes extracted from the input images. The need for automated width detection lies in analyzing the presence or absence of specific anomalies. The paper presents the segmentation of the Coronary artery tree from the angiographic images. This is done by extracting or segmenting the vessels and thereb...