E-learning and adaptive e-learning review

This paper presents a brief overview of the e-learning concept, elearning history, technology and future, Virtual Classes, adaptive e-learning and case study. The development in the cyber learning is being so rapid in these systems. The features of adaptive learning are emphasized by comparing it with the other elearning systems. It is clear from the paper that adaptive learning has various aspects and will lead to a new era in learning. Using the best suitable e-learning tool depends on the learning group and the space of learning. Adaptive learning enhances the learning ability by customizing the learning objects to the student needs and mapping it directly to the learning domain

E-learning and adaptive e-learning review

This paper presents a brief overview of the e-learning concept, elearning history, technology and future, Virtual Classes, adaptive e-learning and case study. The development in the cyber learning is being so rapid in these systems. The features of adaptive learning are emphasized by comparing it with the other elearning systems. It is clear from the paper that adaptive learning has various aspects and will lead to a new era in learning. Using the best suitable e-learning tool depends on the learning group and the space of learning. Adaptive learning enhances the learning ability by customizing the learning objects to the student needs and mapping it directly to the learning domain

Retinal blood vessel segmentation in diabetic retinopathy image using maximum tree

Retinal blood vessels can give information about abnormalities or disease by examinate its pathological changes. Diabetic Retinopathy, disorder of retinal blood vessels resulting from diabetes mellitus, is one of major cause of human vision abnormalities or even blindness. Thus, segmentation of this feature in the retinal images can provide a map of retinal vessel can ease the assessment of the characteristics of the vessels. In this paper, a methods of blood vessel segmentation in Diabetic retinopathy image using attribute filtering which use Max-Tree to represents the image and branches filtering approach as its filtering process. Max-tree used to generate tree as image's representation based on its gray level. To determine which nodes preserved and removed, branches filtering is used which use leaf nodes as an initial reference in the filtering process This research uses 40 retinal images and its manual segmentation validated by expert observer included. Accuracy of this vessel segmentation method is 91,04% based on manual segmentation done by first expert observer and 92,19% based on second observer

Retinal blood vessel segmentation in diabetic retinopathy image using maximum tree

Retinal blood vessels can give information about abnormalities or disease by examinate its pathological changes. Diabetic Retinopathy, disorder of retinal blood vessels resulting from diabetes mellitus, is one of major cause of human vision abnormalities or even blindness. Thus, segmentation of this feature in the retinal images can provide a map of retinal vessel can ease the assessment of the characteristics of the vessels. In this paper, a methods of blood vessel segmentation in Diabetic retinopathy image using attribute filtering which use Max-Tree to represents the image and branches filtering approach as its filtering process. Max-tree used to generate tree as image's representation based on its gray level. To determine which nodes preserved and removed, branches filtering is used which use leaf nodes as an initial reference in the filtering process This research uses 40 retinal images and its manual segmentation validated by expert observer included. Accuracy of this vessel segmentation method is 91,04% based on manual segmentation done by first expert observer and 92,19% based on second observer