Search Results - spatial branch and sound algorithm*

Optimization of Ultrasound Information Imaging Algorithm in Cardiovascular Disease Based on Image Enhancement by Shao, Yongfu, Wu, Jue, Ou, Hongping, Pei, Min, Liu, Li, Movassagh, Ali Akbar, Sharma, Ashutosh, Dhiman, Gaurav, Gheisari, Mehdi, Asheralieva, Alia

“… Aiming at the problem that image edges are difficult to determine due to artefacts, plaques, and vascular branches in cardiovascular ultrasound, an edge ultrasound imaging detection algorithm based…”
Get full text

A Dual-Branch Cross-Modality-Attention Network for Thyroid Nodule Diagnosis Based on Ultrasound Images and Contrast-Enhanced Ultrasound Videos by Chi, Jianning, Chen, Jia-hui, Wu, Bo, Zhao, Jin, Wang, Kai, Yu, Xiaosheng, Zhang, Wenjun, Huang, Ying

“…Contrast-enhanced ultrasound (CEUS) has been extensively employed as an imaging modality in thyroid nodule diagnosis due to its capacity to visualise…”
Get full text

Coarse for Fine: Bounding Box Supervised Thyroid Ultrasound Image Segmentation Using Spatial Arrangement and Hierarchical Prediction Consistency by Chi, Jianning, Lin, Geng, Li, Zelan, Zhang, Wenjun, Chen, Jia-hui, Huang, Ying

“… We propose a dual-branch weakly-supervised learning framework to optimize the backbone segmentation network by calibrating semantic features into rational spatial distribution under the indirect…”
Get full text

A Steered-Response Power Algorithm Employing Hierarchical Search for Acoustic Source Localization Using Microphone Arrays by Nunes, Leonardo O., Martins, Wallace A., Lima, Markus V. S., Biscainho, Luiz W. P., Costa, Mauriacio V. M., Goncalves, Felipe M., Said, Amir, Bowon Lee

“… One of the leading related methods for sound source localization, the steered-response power (SRP…”
Get full text

Research on multi-branch residual connection spectrum image classification based on attention mechanism by Xiaohui, Zhong, Sheng, Dong, Yiyi, Zhang, Wei, Lu, Lincen, Jiang

“…The acoustic spectrogram arranges the frequencies in the sound along the frequency spread, and translates the spectral changes into the intensity, wavelength and frequency of the electrical signals…”
Get full text

Ultrasound deep beamforming using a multiconstrained hybrid generative adversarial network by Zhou, Zixia, Guo, Yi, Wang, Yuanyuan

“…•To increase the ease-of-use of the MC-HGAN beamformer, we establish an end-to-end mapping between RF data and the output image through a hybrid GAN model.•The…”
Get full text

Attention Based Convolutional Neural Network with Multi-frequency Resolution Feature for Environment Sound Classification by Li, Minze, Huang, Wu, Zhang, Tao

“…The environmental sound classification has great research significance in the fields of intelligent audio monitoring and other fields…”
Get full text

A segmentation-based algorithm for classification of benign and malignancy Thyroid nodules with multi-feature information by Zheng, Zhiqiang, Liang, Enhe, Zhang, Yujie, Weng, Zhi, Chai, Jun, Bu, Wenjin, Xu, Jinjin, Su, Tianyi

“… Second, the inflated convolutional part of Atrous Spatial Pyramid Pooling (ASPP) is cascaded for multiple downsampling…”
Get full text

Fast PRISM: Branch and Bound Hough Transform for Object Class Detection by Lehmann, Alain, Leibe, Bastian, Van Gool, Luc

“… It thereby gives a sound justification to the voting procedure and imposes minimal constraints…”
Get full text

Three-dimensional spatial and temporal temperature imaging in gel phantoms using backscattered ultrasound by Anand, A., Savery, D., Hall, C.

“…Thermal therapies such as radio frequency, heated saline, and high-intensity focused ultrasound ablations are often performed suboptimally due to the inability to monitor the spatial and temporal…”
Get full text

Weakly-supervised thyroid ultrasound segmentation: Leveraging multi-scale consistency, contextual features, and bounding box supervision for accurate target delineation by Aly, Mohammed

“… Our framework integrates several key components: the Spatial Arrangement Consistency (SAC) branch, the Hierarchical Prediction Consistency (HPC…”
Get full text

LGF‐Net: A multi‐scale feature fusion network for thyroid nodule ultrasound image classification by Xiao, Yao, Zhuang, Yan, Ling, Wenwu, Jiang, Shouyu, Chen, Ke, Liao, Guoliang, Xie, Yuhua, Hou, Yao, Han, Lin, Hua, Zhan, Luo, Yan, Lin, Jiangli

“…Background Thyroid cancer is one of the most common cancers in clinical practice, and accurate classification of thyroid nodule ultrasound images is crucial for computer‐aided diagnosis…”
Get full text

CLIF-Net: Intersection-Guided Cross-View Fusion Network for Infection Detection From Cranial Ultrasound by Yu, Mingzhao, Peterson, Mallory R., Burgoine, Kathy, Harbaugh, Thaddeus, Olupot-Olupot, Peter, Gladstone, Melissa, Hagmann, Cornelia, Cowan, Frances M., Weeks, Andrew, Morton, Sarah U., Mulondo, Ronald, Mbabazi-Kabachelor, Edith, Schiff, Steven J., Monga, Vishal

“… a clinical presentation consistent with bacterial sepsis in newborn infants using cranial ultrasound (cUS) images…”
Get full text

Skeletonization algorithm-based blood vessel quantification using in vivo 3D photoacoustic imaging by Meiburger, K M, Nam, S Y, Chung, E, Suggs, L J, Emelianov, S Y, Molinari, F

“… Photoacoustic imaging combines the high-contrast and spectroscopic-based specificity of optical imaging with the high spatial resolution of ultrasound imaging, and image contrast depends on optical absorption…”
Get more information

Topological GCN Guided Improved Conformer for Detection of Hip Landmarks From Ultrasound Images by Huang, Tianxiang, Shi, Jing, Jin, Ge, Li, Juncheng, Wang, Jun, Wang, Qian, Du, Jun, Shi, Jun

“… However, existing landmark detection algorithms mainly focus on designing special models to capture the features from hip ultrasound images, but generally ignore the important spatial relations among…”
Get full text

FESNet: Frequency-Enhanced Saliency Detection Network for Grain Pest Segmentation by Yu, Junwei, Zhai, Fupin, Liu, Nan, Shen, Yi, Pan, Quan

“…) detection model, resulting in the pixelwise segmentation of grain pests. The frequency clues, as well as the spatial information, are leveraged to enhance the detection performance of small insects from the cluttered grain background…”
Get full text

Spatial and temporal aberrator stability for real-time adaptive imaging by Dahl, J.J., Soo, M.S., Trahey, G.E.

“… Aberrator stability is important to adaptive imaging because it defines the spatial and temporal limits for which the near-field phase estimates are valid…”
Get full text

Adaptive imaging and spatial compounding in the presence of aberration by Dahl, J.J., Guenther, D.A., Trahey, G.E.

“…Spatial compounding reduces speckle and increases image contrast by incoherently averaging images acquired at different viewing angles…”
Get full text

Noise Reduction Using Spatial-Angular Compounding for Elastography by Techavipoo, U., Quan Chen, Varghese, T., Zagzebski, J.A., Madsen, E.L.

“…Ultrasound elastography has developed into an imaging modality suitable for detection and diagnosis of cancers in the breast, prostate, and thyroid and for monitoring ablative therapies in the liver…”
Get full text

A new formalism for the quantification of tissue perfusion by the destruction-replenishment method in contrast ultrasound imaging by Arditi, M., Frinking, P.J.A., Xiang Zhou, Rognin, N.G.

“… The principles guiding the analysis are, on one hand, a linearization of video echo signals to overcome the log-compression of the imaging instrument, and, on the other hand, the spatial distribution…”
Get full text