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- ArticleJuly 2024
A Hybrid Feature Fusion Network for Predicting HER2 Status on H &E-Stained Histopathology Images
AbstractHuman epidermal growth factor receptor-2 (HER2) is critical in regulating cellular growth, development, and differentiation processes in normal cells. Breast cancer is the most common and lethal cancer among women worldwide, and about 25% of ...
- ArticleJuly 2024
Patch-Based Coupled Attention Network to Predict MSI Status in Colon Cancer
AbstractIdentifying and diagnosing key markers from WSI images is the key to accurate diagnosis and treatment of colon cancer (CC). However, how to extract marker-related features from huge scale WSI images is a challenge faced by AI models. In this study,...
- research-articleMay 2023
An efficient and revocable attribute-based data sharing scheme with rich expression and escrow freedom
Information Sciences: an International Journal (ISCI), Volume 624, Issue CPages 435–450https://doi.org/10.1016/j.ins.2022.12.052AbstractAttribute-based encryption effectively realizes fine-grained access control by using attributes. It provides an ideal access control strategy for new computing environments with large-scale, strong dynamics and strong privacy characteristics, ...
- research-articleMay 2023
TRIMOON: Two-Round Inconsistency-based Multi-modal fusion Network for fake news detection
Information Fusion (INFU), Volume 93, Issue CPages 150–158https://doi.org/10.1016/j.inffus.2022.12.016AbstractCompared to ordinary news, fake news is characterized by faster dissemination and lower production cost and therefore causes a great social harm. For these reasons, the challenge to efficiently and accurately detect fake news has attracted a lot ...
Highlights- A two-round inconsistency-based multi-modal fusion network for fake news detection.
- Effectively suppresses fusion noise when images and text are inconsistent.
- A multi-modal fusion mechanism for strengthening the leading role of ...
- research-articleFebruary 2023
A spatiotemporal correlation deep learning network for brain penumbra disease
Neurocomputing (NEUROC), Volume 520, Issue CPages 274–283https://doi.org/10.1016/j.neucom.2022.11.041AbstractBrain penumbra is a critical condition that is closely related to stroke. Thus, there is high demand for fast and accurate segmentation of penumbra tissue in magnetic resonance images. However, most convolutional neural networks (CNNs) focus on ...
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- research-articleNovember 2021
Sequential convolutional network for behavioral pattern extraction in gait recognition
Neurocomputing (NEUROC), Volume 463, Issue CPages 411–421https://doi.org/10.1016/j.neucom.2021.08.054AbstractAs a unique and promising biometric, video-based gait recognition has broad applications. The key step of this methodology is to learn the walking pattern of individuals, which, however, often suffers challenges to extract the ...
- research-articleNovember 2021
Research on Multi-Energy Complementary Linkage Technology and Economic Evaluation
- Bowen Zhang,
- Long Yan,
- Yulong He,
- Hongjun Huang,
- Jianhua Feng,
- Linghui Lu,
- Enjie Zhang,
- Yanbo Che,
- Mingda Jiang,
- Liangliang Liu,
- Zheng Li
ICISCAE 2021: 2021 4th International Conference on Information Systems and Computer Aided EducationPages 1871–1878https://doi.org/10.1145/3482632.3484058Because of the randomness, time-varying and intermittent characteristics of wind and solar power generation, the coordinated operation and control of the combined microgrid is very complex and rationally configuring the power supply can improve the ...
- research-articleAugust 2021
Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images
- Jianhong Cheng,
- Wei Zhao,
- Jin Liu,
- Xingzhi Xie,
- Shangjie Wu,
- Liangliang Liu,
- Hailin Yue,
- Junjian Li,
- Jianxin Wang,
- Jun Liu
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Volume 19, Issue 5Pages 2723–2736https://doi.org/10.1109/TCBB.2021.3102584Accurate and rapid diagnosis of coronavirus disease 2019 (COVID-19) from chest CT scans is of great importance and urgency during the worldwide outbreak. However, radiologists have to distinguish COVID-19 pneumonia from other pneumonia in a large number ...
- research-articleJanuary 2021
An Ensemble Hybrid Feature Selection Method for Neuropsychiatric Disorder Classification
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Volume 19, Issue 3Pages 1459–1471https://doi.org/10.1109/TCBB.2021.3053181Magnetic resonance imagings (MRIs) are providing increased access to neuropsychiatric disorders that can be made available for advanced data analysis. However, the single type of data limits the ability of psychiatrists to distinguish the subclasses of ...
- research-articleJune 2020
Deep convolutional neural network for automatically segmenting acute ischemic stroke lesion in multi-modality MRI
Neural Computing and Applications (NCAA), Volume 32, Issue 11Pages 6545–6558https://doi.org/10.1007/s00521-019-04096-xAbstractCorrect segmentation of stroke lesions from magnetic resonance imaging (MRI) is crucial for neurologists and patients. However, manual segmentation relies on expert experience and is time-consuming. The complicated stroke evolution phase and the ...
- research-articleApril 2020
Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities
Neurocomputing (NEUROC), Volume 384, Issue CPages 231–242https://doi.org/10.1016/j.neucom.2019.12.050Highlights- We propose a deep convolutional neural network for improving the quality of the segmentation WMHs.
- This network consists of two subnets which uses several architectural innovations to provide very accurate segmentation.
- We also ...
White matter hyperintensities (WMHs) appear as regions of abnormally signal intensity on magnetic resonance imaging (MRI) images, that can be identified in MRI images of elderly people and ischemic stroke patients. However, manual segmentation ...
- ArticleNovember 2019
Nonstandard Periodic Gait Energy Image for Gait Recognition and Data Augmentation
AbstractThe method for synthesizing Gait Energy Image (GEI) is to use the silhouettes overlay of a pedestrian gait cycle, whereas, it is difficult to obtain the silhouettes of a pedestrian gait cycle in practical applications, due to many factors such as ...
- research-articleOctober 2019
Research on Automatic Proofreading Method of Clinical Terminology of Traditional Chinese Medicine
WI '19 Companion: IEEE/WIC/ACM International Conference on Web Intelligence - Companion VolumePages 171–175https://doi.org/10.1145/3358695.3360943With the development of TCM information, computers replace the traditional writing of medical records. However, the typos in the ERMs influence their qualities that bring disturb to the information work such as TCM data mining. We discover the error of ...
- research-articleOctober 2019
Overview and development of Chinese and English thesauri
WI '19 Companion: IEEE/WIC/ACM International Conference on Web Intelligence - Companion VolumePages 165–170https://doi.org/10.1145/3358695.3360942As a kind of retrieval tool, the thesaurus plays an important role in the field of information retrieval. The compilation of thesaurus is beneficial to academic exchanges by scholars from different backgrounds. Based on the early survey, which discovers ...
- research-articleOctober 2019
Automatic Construction of Chinese Typo-Pairs Based on Web Corpus
WI '19 Companion: IEEE/WIC/ACM International Conference on Web Intelligence - Companion VolumePages 159–164https://doi.org/10.1145/3358695.3360941With the development of big data, the amount of text data is growing bigger and bigger in which errors are also more and more. The traditional human-correction cannot meet the actual demand. It is a trend for automatic text proofing by using computer ...
- research-articleAugust 2019
Research on maximum power point contrast tracking of photovoltaic system based on improved particle swarm algorithm
2019 22nd International Conference on Electrical Machines and Systems (ICEMS)Pages 1–8https://doi.org/10.1109/ICEMS.2019.8922019Multiple extreme points exist on characteristic curve of PV array under condition of partial shading.The traditional maximum power point tracking algorithm will fail for being trapped into a local optimum point. In reality, Local shading of photovoltaic ...
- research-articleAugust 2019
Analysis of Influence of Air Source Heat Pump Load on Distribution Network Power Quality
2019 22nd International Conference on Electrical Machines and Systems (ICEMS)Pages 1–6https://doi.org/10.1109/ICEMS.2019.8921617Air source heat pump (ASHP) is common electric heating equipment in the "coal to electricity" project in China. ASHPs connected into the power grid can cause reactive power shortage, voltage sag, harmonic current violation and other power quality ...
- research-articleAugust 2019
A Three-Phase Allocation Strategy Solving Three-Phase Unbalance Problem in Air Conditioners’ Applications
2019 22nd International Conference on Electrical Machines and Systems (ICEMS)Pages 1–5https://doi.org/10.1109/ICEMS.2019.8921570A large number of high-power single-phase electric heating loads, represented by air conditioners entering into domestic consumption is easy to cause asymmetric distribution of three-phase loads in three-phase four-wire power supply system. It is ...
- research-articleJuly 2019
Efficient multi-kernel DCNN with pixel dropout for stroke MRI segmentation
Neurocomputing (NEUROC), Volume 350, Issue CPages 117–127https://doi.org/10.1016/j.neucom.2019.03.049AbstractAs manual delineation of lesions in medical image is a very tedious and time consuming process, accurate and automatic segmentation of medical images can assist diagnosis and treatment. In this study, we propose a deep convolution neural network ...
- research-articleMarch 2019
Automatic ICD code assignment of Chinese clinical notes based on multilayer attention BiRNN
Journal of Biomedical Informatics (JOBI), Volume 91, Issue Chttps://doi.org/10.1016/j.jbi.2019.103114Graphical abstractDisplay Omitted
Highlights- A multilayer attention bidirectional recurrent neural network (MA-BiRNN) model.
- Character-enhanced word embedding for text representation.
- Implementation of the classification of disease codes on Chinese clinical notes.
International Classification of Diseases (ICD) code is an important label of electronic health record. The automatic ICD code assignment based on the narrative of clinical documents is an essential task which has drawn much attention recently. ...