In this paper, we use Generative Adversarial Networks (GANs) to synthesize high-quality retinal images along with the corresponding semantic label-maps, instead of real during training a segmentation network. Different from other previous proposals, employ two-step approach: first, progressively growing GAN is trained generate which describes blood vessel structure (i.e., vasculature); second, ...

‎this paper presents an application of partial differential equations(pdes) for the segmentation of abdominal and thoracic aortic in cta datasets. an important challenge in reliably detecting aortic is the need to overcome problems associated with intensity inhomogeneities. level sets are part of an important class of methods that utilize partial differential equations (pdes) and have been exte...

Introduction: Brain tumors such as glioma are among the most aggressive lesions, which result in a very short life expectancy in patients. Image segmentation is highly essential in medical image analysis with applications, particularly in clinical practices to treat brain tumors. Accurate segmentation of magnetic resonance data is crucial for diagnostic purposes, planning surgical treatments, a...

Optical coherence tomography (OCT) is a non-invasive imaging technique that can produce images of the eye at the microscopic level. OCT image segmentation to localise retinal layer boundaries is a fundamental procedure for diagnosing and monitoring the progression of retinal and optical nerve disorders. In this paper, we introduce a novel and accurate geodesic distance method (GDM) for OCT segm...

Automatic screening of diabetic retinopathy (DR) is a well-identified area research in the domain computer vision. It challenging due to structural complexity and marginal contrast difference between retinal vessels background fundus image. As bright lesions are prominent green channel, we applied contrast-limited adaptive histogram equalization (CLAHE) on channel for image enhancement. This wo...

Optic disc (OD) detection is a main step while developing automated screening systems for diabetic retinopathy. Optic disc boundary and localization of macula are the two features of retina was necessary for the detection of exudates and also knowing the severity of the diabetic maculopathy. According to the prior information, the diameter of optic disc in a standard retinal image, connected co...

Introduction: Segmentation of brain images especially from magnetic resonance imaging (MRI) is an essential requirement in medical imaging since the tissues, edges, and boundaries between them are ambiguous and difficult to detect, due to the proximity of the brightness levels of the images. Material and Methods: In this paper, the graph-base...

The retinal fundus photograph is widely used in the diagnosis and treatment of various eye diseases such as diabetic retinopathy and glaucoma. Medical image analysis and processing has great significance in the field of medicine. Segmentation in eye imaging provides an important role for calculating the geometric shape and size of optic disc and anterior segment and abnormal growth of any regio...