Results 11 to 20 of about 168,457 (247)
Molecular subtypes of breast cancer are important references to personalized clinical treatment. For cost and labor savings, only one of the patient’s paraffin blocks is usually selected for subsequent immunohistochemistry (IHC) to obtain molecular ...
Hong Liu +16 more
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BgNet: Classification of benign and malignant tumors with MRI multi-plane attention learning
ObjectivesTo propose a deep learning-based classification framework, which can carry out patient-level benign and malignant tumors classification according to the patient’s multi-plane images and clinical information.MethodsA total of 430 cases of spinal
Hong Liu +17 more
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CoL-GAN: Plausible and Collision-Less Trajectory Prediction by Attention-Based GAN
Predicting plausible and collisionless trajectories is critical in various applications, such as robotic navigation and autonomous driving. This is a challenging task due to two major factors. First, it is difficult for deep neural networks to understand
Shaohua Liu +3 more
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Mobile Phone-Based Audio Announcement Detection and Recognition for People with Hearing Impairment
Automatic audio announcement systems are widely used in public places such as transportation vehicles and facilities, hospitals, and banks. However, these systems cannot be used by people with hearing impairment.
Yong Ruan, Yueliang Qian, Xiangdong Wang
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Reliable Fusion of Stereo Matching and Depth Sensor for High Quality Dense Depth Maps
Depth estimation is a classical problem in computer vision, which typically relies on either a depth sensor or stereo matching alone. The depth sensor provides real-time estimates in repetitive and textureless regions where stereo matching is not ...
Jing Liu +3 more
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Kalman filter is a commonly used method in the Global Navigation Satellite System (GNSS)/Inertial Navigation System (INS) integrated navigation system, in which the process noise covariance matrix has a significant influence on the positioning accuracy ...
Xile Gao +7 more
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An embedded bandit algorithm based on agent evolution for cold-start problem
PurposeMany recommender systems are generally unable to provide accurate recommendations to users with limited interaction history, which is known as the cold-start problem. This issue can be resolved by trivial approaches that select random items or the
Rui Qiu, Wen Ji
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Strain-Induced Modulation of Spin Configuration in LaCoO3
For oxides with octahedron ligand field, such as perovskite, spinel, and mullite, unit occupancy of eg orbital plays a key role in governing the catalytic performance of oxygen redox in the application of renewable energy storage and conversion.
Linxia Wang +7 more
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Crowd intelligence evolution based on complex network
PurposeIn recent years, with the increase in computing power, artificial intelligence can gradually be regarded as intelligent agents and interact with humans, this interactive network has become increasingly complex.
Jianran Liu, Wen Ji
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Computing Offloading Scheme Based on User Experiencein Mobile Edge Computing [PDF]
Most of the existing computing offloading schemes in Mobile Edge Computing(MEC) pre-set unified weight factors,which fail to meet the different requirements of users for delay and energy consumption.To address the problem,this paper proposes a computing ...
YANG Tian, TIAN Lin, SUN Qian, ZHANG Zongshuai, WANG Yuanyuan
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