Results 71 to 80 of about 423,040 (338)

S²PNet: An Interactive Learning Framework for Addressing Spatial–Spectral Heterogeneity in H² Imagery Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral imagery with high spatial resolution (H2) imagery can synchronously obtain the spectral and spatial features of objects, thus providing richer information.
Shuai Zhang, Yonghua Jiang, Chengjun Wang, Meilin Tan, Bin Du, Feng Tian   +5 more
doaj   +1 more source

Semantic Visual Simultaneous Localization and Mapping: A Survey [PDF]

arXiv, 2022
Visual Simultaneous Localization and Mapping (vSLAM) has achieved great progress in the computer vision and robotics communities, and has been successfully used in many fields such as autonomous robot navigation and AR/VR. However, vSLAM cannot achieve good localization in dynamic and complex environments.
arxiv  

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

Content-Based Medical Image Retrieval Based on Image Feature Projection in Relevance Feedback Level [PDF]

Journal of Intelligent Procedures in Electrical Technology, 2014
The purpose of this study is to design a content-based medical image retrieval system and provide a new method to reduce semantic gap between visual features and semantic concepts.
Mohammad Behnam, Hossein Pourghasem
doaj   +2 more sources

Novel CT radiomics models for the postoperative prediction of early recurrence of resectable pancreatic adenocarcinoma: A single‐center retrospective study in China

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du, Yongsu Ma, Kexin Wang, Xiejian Zhong, Jianxin Wang, Xiaodong Tian, Xiaoying Wang, Yinmo Yang   +7 more
wiley   +1 more source

USCT-UNet: Rethinking the Semantic Gap in U-Net Network From U-Shaped Skip Connections With Multichannel Fusion Transformer

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Medical image segmentation is a crucial component of computer-aided clinical diagnosis, with state-of-the-art models often being variants of U-Net. Despite their success, these models’ skip connections introduce an unnecessary semantic gap between
Xiaoshan Xie, Min Yang
doaj   +1 more source

Matching of 3D Model and Semantic Description via Multi-Modal Auxiliary Classifier Generative Adversarial Network With Autoencoder

IEEE Access, 2019
To facilitate the management of 3D content in applications, some researchers add semantics to the geometric description of 3D models. However, the insurmountable semantic gap between 3D model and semantic description is the biggest obstacle to the ...
Long Zhang, Li Liu, Huaxiang Zhang, Xiuxiu Chen, Tianshi Wang, Chunjing Wang   +5 more
doaj   +1 more source

Computer Vision-Based Hazard Identification of Construction Site Using Visual Relationship Detection and Ontology

Buildings, 2022
Onsite systematic monitoring benefits hazard prevention immensely. Hazard identification is usually limited due to the semantic gap. Previous studies that integrate computer vision and ontology can address the semantic gap and detect the onsite hazards ...
Yange Li, Han Wei, Zheng Han, Nan Jiang, Weidong Wang, Jianling Huang   +5 more
doaj   +1 more source

Reinforcement Learning-powered Semantic Communication via Semantic Similarity [PDF]

arXiv, 2021
We introduce a new semantic communication mechanism - SemanticRL, whose key idea is to preserve the semantic information instead of strictly securing the bit-level precision. Unlike previous methods that mainly concentrate on the network or structure design, we revisit the learning process and point out the semantic blindness of commonly used objective
arxiv  

An Operational Petri Net Semantics for the Join-Calculus [PDF]

EPTCS 89, 2012, pp. 131-147, 2012
We present a concurrent operational Petri net semantics for the join-calculus, a process calculus for specifying concurrent and distributed systems. There often is a gap between system specifications and the actual implementations caused by synchrony assumptions on the specification side and asynchronously interacting components in implementations. The
arxiv   +1 more source