… -based image annotation platform combining crowdsourcing and assistive segmentation tools
… We also investigate the behavior of non-expert annotators under different levels of image …

… to implement a semi-automatic segmentation method called … , manual segmentation is
used to complete a segmentation … segmentation can become the time bottleneck in the image …

… This paper presents a semi-automatic brain extraction … and external forces and modifying the
image gradient (edge) map… OM) between the automatically segmented and manually traced …

… This paper presents a novel boundary based semiautomatic tool, ByLabel, for accurate
image annotation. Given an image, … In image segmentation and visual tracking, well annotated …

… High quality image-based semi-automatic segmentation was provided by the GrowCut and
the Canny segmentation method. In the cranio-maxillofacial complex, these segmentation …

… The disadvantage of semi-automatic segmentation is the subjective … segmentation on an
image, but also in the o on time. The advantage is the tact that semi-automatic segmentation …

… in the image acquisition and segmentation processes for automatic or semi-automatic
delineation of tissue in MRI are discussed. Image data acquisition and segmentation purposes …

… segmentation process. To address these challenges in segmenting gliomas, a semi-automatic …
both prior knowledge and statistical information from the image is proposed in this work. …

… For the semi-automatic segmentation algorithm, we will assume a particular type of user
input, often referred to as scribbles or seeds. As shown in Fig. 1, the user marks a few pixels in …

… snake for semi-automatic segmentation of a single and closed structure in an image. We …
The two types of image information are balanced using Fisher’s linear discriminant analysis. …