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Generative adversarial network for medical image segmentationIn this paper, a U-Net medical image segmentation method based on generative adversarial networks
Comparative Analysis of Semantic Segmentation Methods for Satellite Images Segmentation for satellite
images segmentation on the Semantic Drone Dataset with 23 classes (paved-area, dirt, grass
Comparison of Deep Learning Preprocessing Algorithms of Nuclei Segmentation on Fluorescence Immunohistology Images of Cancer Cells. With the widespread application of convolutional neural networks in computer vision, segmentation of images of cancer
Exploration of stability for segmentation method based on wave region growingA method of progressive segmentation of gray scale images based on wave quasi parallel region
Algorithm for analysis and synthesis of texture imagesAlgorithm for analysis and synthesis of texture images
Multiple seeded region growing algorithm for image segmentation using local extremaIn this paper, a multiple seeded region growing technique for image segmentation is presented
An automatic seeded region growing algorithmbased on contour processing for grayscale images is subjected to contour processing. The contour image is then segmented using simple SRG by assigning labels
Dilated convolution and spatial pyramid fusion in the image segmentation problemImage segmentation is one of the important tasks in the computer vision, where the goal
The adaptive boosting algorithm in biomedical image segmentation image
segmentation due to its ability to handle high-dimensional feature spaces and improve classication
Building detection on aerial images using U-NET neural networks of algorithms. This approach allows to cope with the problem of segmentation for aerial high-resolution images
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