Search Results - "Gou, Fangfang"
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Data Transmission Strategy Based on Node Motion Prediction IoT System in Opportunistic Social Networks
Published in Wireless personal communications (01-09-2022)“…With the rapid popularization of mobile smart devices in the IoT and the 5G environment, nodes’ requirements for network response speed are constantly…”
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Hybrid data transmission scheme based on source node centrality and community reconstruction in opportunistic social networks
Published in Peer-to-peer networking and applications (01-11-2021)“…With the advent of 5G era and the development of personal mobile devices, people’s demand for information and bandwidth is growing exponentially. In the…”
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Information transmission mode and IoT community reconstruction based on user influence in opportunistic s ocial networks
Published in Peer-to-peer networking and applications (01-05-2022)“…With the wide popularization of the 5G network and the technology of IoT, a variety of mobile terminals has become a necessity for people’s daily life. In the…”
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4
Intelligent cell images segmentation system: based on SDN and moving transformer
Published in Scientific reports (22-10-2024)“…Diagnosing diseases heavily relies on cell pathology images, but the extensive data in each manual identification of relevant cells labor-intensive, especially…”
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Semi-supervised recognition for artificial intelligence assisted pathology image diagnosis
Published in Scientific reports (20-09-2024)“…The analysis and interpretation of cytopathological images are crucial in modern medical diagnostics. However, manually locating and identifying relevant cells…”
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A Convolutional Neural Network-Based Intelligent Medical System with Sensors for Assistive Diagnosis and Decision-Making in Non-Small Cell Lung Cancer
Published in Sensors (Basel, Switzerland) (30-11-2021)“…In many regions of the world, early diagnosis of non-small cell lung cancer (NSCLC) is a major challenge due to the large population and lack of medical…”
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Image segmentation technology based on transformer in medical decision‐making system
Published in IET image processing (01-08-2023)“…Due to the improvement in computing power and the development of computer technology, deep learning has pene‐trated into various fields of the medical…”
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An effective data communication community establishment scheme in opportunistic networks
Published in IET communications (01-07-2023)“…The network transmission speed has been greatly improved, thanks to the power of 5G technology. The millisecond‐level communication delay has made a…”
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Osteosarcoma MRI Image-Assisted Segmentation System Base on Guided Aggregated Bilateral Network
Published in Mathematics (Basel) (01-04-2022)“…Osteosarcoma is a primary malignant tumor. It is difficult to cure and expensive to treat. Generally, diagnosis is made by analyzing MRI images of patients. In…”
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An Attention-Preserving Network-Based Method for Assisted Segmentation of Osteosarcoma MRI Images
Published in Mathematics (Basel) (01-05-2022)“…Osteosarcoma is a malignant bone tumor that is extremely dangerous to human health. Not only does it require a large amount of work, it is also a complicated…”
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A semantic fidelity interpretable-assisted decision model for lung nodule classification
Published in International journal for computer assisted radiology and surgery (01-04-2024)“…Purpose Early diagnosis of lung nodules is important for the treatment of lung cancer patients, existing capsule network-based assisted diagnostic models for…”
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A Multimodal Auxiliary Classification System for Osteosarcoma Histopathological Images Based on Deep Active Learning
Published in Healthcare (Basel) (01-10-2022)“…Histopathological examination is an important criterion in the clinical diagnosis of osteosarcoma. With the improvement of hardware technology and computing…”
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A Reputation Value-Based Task-Sharing Strategy in Opportunistic Complex Social Networks
Published in Complexity (New York, N.Y.) (2021)“…As the Internet of Things (IoT) smart mobile devices explode in complex opportunistic social networks, the amount of data in complex networks is increasing…”
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Node Screening Method Based on Federated Learning with IoT in Opportunistic Social Networks
Published in Mathematics (Basel) (01-05-2022)“…With the advent of the 5G era, the number of Internet of Things (IoT) devices has surged, and the population’s demand for information and bandwidth is…”
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Multi-Scale Tumor Localization Based on Priori Guidance-Based Segmentation Method for Osteosarcoma MRI Images
Published in Mathematics (Basel) (01-06-2022)“…Osteosarcoma is a malignant osteosarcoma that is extremely harmful to human health. Magnetic resonance imaging (MRI) technology is one of the commonly used…”
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Two‐stage coarse‐to‐fine method for pathological images in medical decision‐making systems
Published in IET image processing (01-01-2024)“…Artificial intelligence decision systems play an important supporting role in the field of medical information. Medical image analysis is an important part of…”
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An Innovative Solution Based on TSCA-ViT for Osteosarcoma Diagnosis in Resource-Limited Settings
Published in Biomedicines (01-10-2023)“…Identifying and managing osteosarcoma pose significant challenges, especially in resource-constrained developing nations. Advanced diagnostic methods involve…”
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A Novel Medical Decision-Making System Based on Multi-Scale Feature Enhancement for Small Samples
Published in Mathematics (Basel) (01-04-2023)“…The medical decision-making system is an advanced system for patients that can assist doctors in their medical work. Osteosarcoma is a primary malignant tumor…”
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An intelligent MRI assisted diagnosis and treatment system for osteosarcoma based on super-resolution
Published in Complex & intelligent systems (01-10-2024)“…Magnetic resonance imaging (MRI) examinations are a routine part of the cancer treatment process. In developing countries, disease diagnosis is often…”
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Artificial intelligence multiprocessing scheme for pathology images based on transformer for nuclei segmentation
Published in Complex & intelligent systems (01-08-2024)“…Malignant tumors are a common cytopathologic disease. Pathological tissue examination is a key tool for diagnosing malignant tumors. Doctors need to manually…”
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