Adaptive Fusion-Based Autonomous Laparoscope Control for Semi-Autonomous Surgery
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Medical Systems"
DOI: 10.1007/s10916-019-1460-9
Abstract: The purpose of this paper is to develop an autonomous tracking algorithm based on adaptive fusion kinematics method, the autonomous laparoscope control algorithm and adaptive fusion kinematics method are proposed for semi-autonomous surgery, focus on… read more here.
Keywords: control; kinematics; adaptive fusion; autonomous laparoscope ... See more keywords
M-CSAFN: Multi-color Space Adaptive Fusion Network for Automated Port-wine Stains Segmentation.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3247479
Abstract: Automatic segmentation of port-wine stains (PWS) from clinical images is critical for accurate diagnosis and objective assessment of PWS. However, this is a challenging task due to the color heterogeneity, low contrast, and indistinguishable appearance… read more here.
Keywords: port wine; color; wine stains; segmentation ... See more keywords
Multiscale Adaptive Fusion Network for Hyperspectral Image Denoising
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3257051
Abstract: Removing the noise and improving the visual quality of hyperspectral images (HSIs) is challenging in academia and industry. Great efforts have been made to leverage local, global, or spectral context information for HSI denoising. However,… read more here.
Keywords: network; fusion; multiscale adaptive; fusion network ... See more keywords
Adaptive Fusion Feature Transfer Learning Method For NILM
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3269105
Abstract: Noninvasive load monitoring (NILM) aims to extract the power consumption of individual appliances from a smart meter that measures the total power consumption of all appliances. At present, deep learning methods have achieved leading results.… read more here.
Keywords: feature transfer; transfer; transfer learning; adaptive fusion ... See more keywords
Adaptive Fusion of Heterogeneous Manifolds for Subspace Clustering
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.3011717
Abstract: Multiview clustering (MVC) has recently received great interest due to its pleasing efficacy in combining the abundant and complementary information to improve clustering performance, which overcomes the drawbacks of view limitation existed in the standard… read more here.
Keywords: fusion; heterogeneous manifolds; subspace clustering; manifolds subspace ... See more keywords
Adversarial Multiview Clustering Networks With Adaptive Fusion.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3145048
Abstract: The existing deep multiview clustering (MVC) methods are mainly based on autoencoder networks, which seek common latent variables to reconstruct the original input of each view individually. However, due to the view-specific reconstruction loss, it… read more here.
Keywords: multiview; multiview clustering; adversarial multiview; adaptive fusion ... See more keywords