Therefore, this paper proposes an image segmentation algorithm combining a saliency map and neutrosophic set (NS) theory. First, to overcome the problem of weak edges in the image, we highlight the ...

To avoid the problems of relative overlap and low signal-to-noise ratio (SNR) of segmented three-dimensional (3D) multimodal medical images, which limit the effect of medical image diagnosis, a 3D ...

This is the first experiment of Image Segmentation for OTU-3d (Ovarian Tumor 3d) based on the Tensorflow-Image-Segmentation-API, In this experiment, we aim to demonstrate that ...

The emergence of 4D heart images makes the data volume of the images multiply. It is more urgent to require an effective and fast segmentation algorithm. Therefore, a heart image can be accurately ...

Tensorflow-Image-Segmentation-MoNuSAC-2020 (2024/07/17) This is the first experiment of Image Segmentation for MoNuSAC 2020 (A Multi-organ Nuclei Segmentation and Classification Challenge) based on ...

Keywords: image segmentation, active contour, gradient vector flow, image structure tensor, diffusion tensor Citation: Wang D, Dang X, Liu W and Wang Y (2023) Image segmentation using active contours ...

After social media exploded with allegations that Twitter's image-cropping algorithm had a racial bias, the company said it decided to drop automated cropping.