Results 41 to 50 of about 12,457,928 (304)

Distance Regularized Level Set Evolution for Medical Image Segmentation [PDF]

open access: yes, 2013
Medical image is an important tool because it can be used for surgical planning and simulation, radiotherapy planning, and tracking the progress of disease. To analyze the medical image, it must partitioned into different segment using image segmentation
Pranowo, Pranowo, Rianto , Indra
core   +1 more source

A Novel Weakly Supervised Remote Sensing Landslide Semantic Segmentation Method: Combining CAM and cycleGAN Algorithms

open access: yesRemote Sensing, 2022
With the development of deep learning algorithms, more and more deep learning algorithms are being applied to remote sensing image classification, detection, and semantic segmentation.
Yongxiu Zhou   +5 more
doaj   +1 more source

Weakly Supervised Deep Semantic Segmentation Using CNN and ELM with Semantic Candidate Regions

open access: yesComplexity, 2019
The task of semantic segmentation is to obtain strong pixel-level annotations for each pixel in the image. For fully supervised semantic segmentation, the task is achieved by a segmentation model trained using pixel-level annotations.
Xinying Xu   +4 more
doaj   +1 more source

Semantic Segmentation of 3D Medical Images with 3D Convolutional Neural Networks

open access: yesCLEI Electronic Journal, 2020
A neural network is a mathematical model that is able to perform a task automatically or semi-automatically after learning the human knowledge that we provided.
Alejandra Márquez Herrera   +2 more
doaj   +1 more source

Image segmentation, evaluation, and applications [PDF]

open access: yes, 2010
This thesis aims to advance research in image segmentation by developing robust techniques for evaluating image segmentation algorithms. The key contributions of this work are as follows. First, we investigate the characteristics of existing measures for
McGuinness, Kevin
core   +2 more sources

Distorted Aerial Images Semantic Segmentation Method for Software-Based Analog Image Receivers Using Deep Combined Learning

open access: yesApplied Sciences, 2023
Aerial images are important for monitoring land cover and land resource management. An aerial imaging source which keeps its position at a higher altitude, and which has a considerable duration of airtime, employs wireless communications for sending ...
Kalupahanage Dilusha Malintha De Silva   +1 more
doaj   +1 more source

SEMANTIC SEGMENTATION OF BUILDING IN AIRBORNE IMAGES [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Abstract. Building is a key component to the reconstructing of LoD3 city modelling. Compared to terrestrial view, airborne datasets have more occlusions at street level but can cover larger area in the urban areas. With the popularity of the Deep Learning, many tasks in the field of computer vision can be solved in easier and efficiency way.
S. Huang, F. Nex, Y. Lin, M. Y. Yang
openaire   +4 more sources

An unsupervised semantic segmentation method that combines the ImSE-Net model with SLICm superpixel optimization

open access: yesInternational Journal of Digital Earth
In the field of remote sensing, using a large amount of labeled image data to supervise the training of fully convolutional networks for the semantic segmentation of images is expensive.
Zenan Yang   +4 more
doaj   +1 more source

Image Style Transfer Algorithm Based on Semantic Segmentation

open access: yesIEEE Access, 2021
Most of the existing image style transfer algorithms transfer the whole image style as a whole. Style feature is a set of correlation matrix based on style image, namely Gram matrix. Each matrix is a global description of the style image.
Zhijie Lin   +7 more
doaj   +1 more source

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi   +8 more
wiley   +1 more source

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