LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "fully convolutional" as a keyword



Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model

Sign Up to like & get
recommendations! Published in 2019 at "Medical Physics"

DOI: 10.1002/mp.13268

Abstract: PURPOSE Due to the low contrast, blurry boundaries, and large amount of shadows in breast ultrasound (BUS) images, automatic tumor segmentation remains a challenging task. Deep learning provides a solution to this problem, since it… read more here.

Keywords: network; segmentation; fully convolutional; tumor segmentation ... See more keywords

A Fully Convolutional Network (FCN) based Automated Ischemic Stroke Segment Method using Chemical Exchange Saturation Transfer Imaging.

Sign Up to like & get
recommendations! Published in 2022 at "Medical physics"

DOI: 10.1002/mp.15483

Abstract: BACKGROUND Chemical exchange saturation transfer (CEST) MRI is a promising imaging modality in ischemic stroke detection for its sensitivity in sensing post-ischemic pH alteration. However, the accurate segmentation of pH-altered regions remains difficult due to… read more here.

Keywords: fully convolutional; chemical exchange; segmentation; exchange saturation ... See more keywords

Deep-segmentation of plantar pressure images incorporating fully convolutional neural networks

Sign Up to like & get
recommendations! Published in 2020 at "Biocybernetics and Biomedical Engineering"

DOI: 10.1016/j.bbe.2020.01.004

Abstract: Abstract Comfort shoe-last design relies on the key points of last curvature. Traditional plantar pressure image segmentation methods are limited to their local and global minimization issues. In this work, an improved fully convolutional networks… read more here.

Keywords: plantar pressure; deep segmentation; segmentation; fully convolutional ... See more keywords
Photo from wikipedia

Fully Convolutional Neural Network: A solution to infer animal behaviours from multi-sensor data

Sign Up to like & get
recommendations! Published in 2021 at "Ecological Modelling"

DOI: 10.1016/j.ecolmodel.2021.109555

Abstract: Abstract Animal-attached accelerometers have been widely used to monitor species that are difficult to observe, alongside the use of machine learning to identify behaviours from the obtained sequences. Artificial neural networks are powerful supervised learning… read more here.

Keywords: fully convolutional; neural network; animal; ecology ... See more keywords

Direct left-ventricular global longitudinal strain (GLS) computation with a fully convolutional network.

Sign Up to like & get
recommendations! Published in 2021 at "Journal of biomechanics"

DOI: 10.1016/j.jbiomech.2021.110878

Abstract: This study's purpose was to develop a direct MRI-based, deep-learning semantic segmentation approach for computing global longitudinal strain (GLS), a known metric for detecting left-ventricular (LV) cardiotoxicity in breast cancer. Displacement Encoding with Stimulated Echoes… read more here.

Keywords: fully convolutional; longitudinal strain; left ventricular; convolutional network ... See more keywords

Multi-class multimodal semantic segmentation with an improved 3D fully convolutional networks

Sign Up to like & get
recommendations! Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.11.103

Abstract: Abstract Semantic segmentation is an important but challenging task in the field of medical image analysis. Automatic labeling for different anatomical structures can be useful for disease diagnosis, treatment planning and development/degeneration evaluation. However, due… read more here.

Keywords: fully convolutional; convolutional networks; semantic segmentation; segmentation ... See more keywords
Photo from wikipedia

Multi-Scale and Single-Scale Fully Convolutional Networks for Sound Event Detection

Sign Up to like & get
recommendations! Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.09.038

Abstract: Abstract Among various Sound Event Detection (SED) systems, Recurrent Neural Networks (RNN), such as long short-term memory unit and gated recurrent unit, is used to capture temporal dependencies, but it is confined in its length… read more here.

Keywords: detection; convolutional networks; temporal dependencies; fully convolutional ... See more keywords
Photo from wikipedia

Imagery Creation based on Autonomic System for Finite Element by using Fully Convolutional Network

Sign Up to like & get
recommendations! Published in 2020 at "Procedia Manufacturing"

DOI: 10.1016/j.promfg.2020.02.059

Abstract: Abstract For applications in Industry 4.0, a system that can analyze the deformation and stress of a target object from an image acquired by a smartphone or tablet is proposed in this paper. The process… read more here.

Keywords: finite element; target object; system; fully convolutional ... See more keywords

Delineation of agricultural fields in smallholder farms from satellite images using fully convolutional networks and combinatorial grouping

Sign Up to like & get
recommendations! Published in 2019 at "Remote Sensing of Environment"

DOI: 10.1016/j.rse.2019.111253

Abstract: Accurate spatial information of agricultural fields in smallholder farms is important for providing actionable information to farmers, managers, and policymakers. Very High Resolution (VHR) satellite images can capture such information. However, the automated delineation of… read more here.

Keywords: agricultural fields; using fully; fully convolutional; satellite images ... See more keywords

Prediction of elastic stresses in porous materials using fully convolutional networks

Sign Up to like & get
recommendations! Published in 2021 at "Scripta Materialia"

DOI: 10.1016/j.scriptamat.2021.113805

Abstract: Abstract Machine learning (ML) models enable exploration of vast structural space faster than the traditional methods, such as finite element method (FEM). This makes ML models suitable for stochastic fracture problems in brittle porous materials.… read more here.

Keywords: prediction elastic; fully convolutional; convolutional networks; porous materials ... See more keywords

Fully convolutional neural networks for processing observational data from small remote solar telescopes

Sign Up to like & get
recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-93808-6

Abstract: Heliophysics phenomena on the Sun, such as radio bursts, can strongly affect satellites and ground-based electronic systems. Therefore, an insight into the actual image of the Sun with good spatial and temporal resolution is crucial.… read more here.

Keywords: convolutional neural; solar telescopes; fully convolutional; usepackage ... See more keywords