Artifact removal for unpaired thorax CBCT images using a feature fusion residual network and contextual loss.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of applied clinical medical physics"
DOI: 10.1002/acm2.13968
Abstract: BACKGROUND AND OBJECTIVE Cone-beam computed tomography (CBCT) has become a more and more active cutting-edge topic in the international computed tomography (CT) research due to its advantages of fast scanning speed, high ray utilization rate… read more here.
Keywords: cbct images; feature fusion; loss; thorax cbct ... See more keywords
Computer‐aided diagnosis of retinal diseases using multidomain feature fusion
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22379
Abstract: In this article, an attempt is made to combine both transform and spatial domain features to increase the accuracy, sensitivity, and specificity for the classification of retinal diseases. Papilloedema, macular edema, glaucoma, diabetic retinopathy (DR),… read more here.
Keywords: feature; feature fusion; fusion; computer aided ... See more keywords
FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22820
Abstract: Intracranial tumors arise from constituents of the brain and its meninges. Glioblastoma (GBM) is the most common adult primary intracranial neoplasm and is categorized as high‐grade astrocytoma according to the World Health Organization (WHO). The… read more here.
Keywords: ffcaes efficient; fusion; feature fusion; cascaded autoencoders ... See more keywords
Diffuse Large B-cell Lymphoma Segmentation in PET-CT Images via Hybrid Learning for Feature Fusion.
Sign Up to like & getrecommendations! Published in 2021 at "Medical physics"
DOI: 10.1002/mp.14847
Abstract: PURPOSE Diffuse large B-cell lymphoma (DLBCL) is an aggressive type of lymphoma with high mortality and poor prognosis that especially has a high incidence in Asia. Accurate segmentation of DLBCL lesions is crucial for clinical… read more here.
Keywords: dlbcl; feature; segmentation; feature fusion ... See more keywords
Smoky vehicle detection based on multi-feature fusion and ensemble neural networks
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6248-2
Abstract: Existing methods of smoky vehicle detection from the traffic flow are inefficiency and need a large number of workers. To solve this issue, we propose an automatic smoky vehicle detection method based on multi-feature fusion… read more here.
Keywords: detection; smoky vehicle; vehicle detection; vehicle ... See more keywords
Feature fusion analysis of big cognitive data
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7536-1
Abstract: Cognitive computing is one kind of affective social computing, and becomes a research hotspot now. The traditional feature fusion method has the disadvantages to process big cognitive data, such as high redundancy, less efficient operation,… read more here.
Keywords: cognitive data; big cognitive; analysis; feature fusion ... See more keywords
Integrated optimization of underwater acoustic ship-radiated noise recognition based on two-dimensional feature fusion
Sign Up to like & getrecommendations! Published in 2020 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2019.107057
Abstract: Abstract Feature fusion methods are introduced to ship-radiated noise recognition in this paper. Wavelet packet (WP) decomposition is used to decompose the ship-radiated noise into multiple different subbands. By considering the features extracted from the… read more here.
Keywords: recognition; ship radiated; radiated noise; feature fusion ... See more keywords
A cascaded classifier for multi-lead ECG based on feature fusion
Sign Up to like & getrecommendations! Published in 2019 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2019.06.021
Abstract: BACKGROUND AND OBJECTIVE Electrocardiogram (ECG) is an important diagnostic tool for the diagnosis of heart disorders. Useful features and well-designed classification method are crucial for automatic diagnosis. However, most of the contributions were in single… read more here.
Keywords: lead ecg; database; ecg; feature fusion ... See more keywords
Multimodal plant recognition through hybrid feature fusion technique using imaging and non-imaging hyper-spectral data
Sign Up to like & getrecommendations! Published in 2018 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2018.09.018
Abstract: Abstract Automatic classification of the plants is growing area of association with computer science and Botany, it has attracted many researchers to subsidize plant classification using image processing and machine learning techniques. Plants can be… read more here.
Keywords: spectral data; classification; plant; feature fusion ... See more keywords
Railway turnout system RUL prediction based on feature fusion and genetic programming
Sign Up to like & getrecommendations! Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2019.107162
Abstract: Abstract The remaining useful life (RUL) prediction of railway turnout systems (RTS) is very important to avoid unplanned shutdowns and reduce labor costs for the normal operation of railways. One key challenge on RUL prediction… read more here.
Keywords: rul; feature fusion; railway turnout; rul prediction ... See more keywords
Enhanced feature fusion through irrelevant redundancy elimination in intra-class and extra-class discriminative correlation analysis
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.01.029
Abstract: Abstract Feature fusion aims to provide enhancements of data authenticity in both traditional and deep learning pattern analysis. Canonical correlation analysis (CCA) based feature fusion is a main technique for exploring the mutual relationships of… read more here.
Keywords: class; analysis; feature fusion; correlation ... See more keywords