CLASSIFICATION

作品数:2052被引量:4364H指数:23
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相关机构:清华大学复旦大学北京邮电大学温州医科大学更多>>
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New surgical approach for distal clavicle fractures:A case report
《World Journal of Clinical Cases》2025年第18期101-110,共10页Wen-Tao Hu Zi-Yan Zhang Ji Qu Cheng-Dong Piao 
BACKGROUND Clavicle fractures are a common type of fracture that often occurs after high-energy trauma.The treatment methods for clavicle fractures remain controversial.Both locking compression and hook plates are rec...
关键词:CLAVICLE Distal clavicle fracture Hook plate COMPLICATIONS CLASSIFICATION Classification system Case report 
UltraSegNet:A Hybrid Deep Learning Framework for Enhanced Breast Cancer Segmentation and Classification on Ultrasound Images
《Computers, Materials & Continua》2025年第5期3303-3333,共31页Suhaila Abuowaida Hamza Abu Owida Deema Mohammed Alsekait Nawaf Alshdaifat Diaa Salama Abd Elminaam Mohammad Alshinwan 
funded by Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2025R435),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
Segmenting a breast ultrasound image is still challenging due to the presence of speckle noise,dependency on the operator,and the variation of image quality.This paper presents the UltraSegNet architecture that addres...
关键词:Breast cancer ultrasound image SEGMENTATION CLASSIFICATION deep learning 
Classification of solutions to the critical order elliptic system with general nonlinearity
《Science China Mathematics》2025年第4期807-838,共32页Yuxia Guo Shaolong Peng 
supported by National Key R&D Program(Grant No.2023YFA1010002);National Natural Science Foundation of China(Grant Nos.12031015 and 12271283)。
Consider the following elliptic system:{(−∆)u=f(u,v),(−∆)v=g(u,v),(0.1)where f and g are continuous functions and satisfy the finite total curvature conditions.Recently,Guo and Liu(2008)derived Liouville-type results ...
关键词:classification of solutions semilinear elliptic system method of moving spheres critical order 
GACL-Net:Hybrid Deep Learning Framework for Accurate Motor Imagery Classification in Stroke Rehabilitation
《Computers, Materials & Continua》2025年第4期517-536,共20页Chayut Bunterngchit Laith H.Baniata Mohammad H.Baniata Ashraf ALDabbas Mohannad A.Khair Thanaphon Chearanai Sangwoo Kang 
supported by the Basic Science Research Program through the National Research Foundation of Korea(NRF);funded by the Ministry of Science and ICT under Grant NRF-2022R1A2C1005316.
Stroke is a leading cause of death and disability worldwide,significantly impairing motor and cognitive functions.Effective rehabilitation is often hindered by the heterogeneity of stroke lesions,variability in recove...
关键词:Motor imagery EEG stroke rehabilitation deep learning brain-computer interface 
A Global-Local Parallel Dual-Branch Deep Learning Model with Attention-Enhanced Feature Fusion for Brain Tumor MRI Classification
《Computers, Materials & Continua》2025年第4期739-760,共22页Zhiyong Li Xinlian Zhou 
Brain tumor classification is crucial for personalized treatment planning.Although deep learning-based Artificial Intelligence(AI)models can automatically analyze tumor images,fine details of small tumor regions may b...
关键词:Deep learning attention mechanism feature fusion dual-branch structure brain tumor MRI classification 
CLASSIFICATION OF SELF-SIMILAR SOLUTIONS OF THE DEGENERATE POLYTROPIC FILTRATION EQUATIONS
《Acta Mathematica Scientia》2025年第2期615-635,共21页Zhipeng LIU Shanming JI 
supported by the NSFC(12271178,12171166);the Guangzhou Basic and Applied Basic Research Foundation(2024A04J2022);the TCL Young Scholar(2024-2027).
In this paper,we study the self-similar solutions of the degenerate diffusion equation ut-div(|▽u^(m)|^(p-2)▽u^(m))=0 of polytropic filtration diffusion in R^(N)×(0,±∞)or(R^(N)/{0})×(0,±∞)with N≥1,m>0,p>1,suc...
关键词:self-similar solutions polytropic filtration equation degenerate diffusion equation doubly nonlinear diffusion 
Fluctuation Classification and Feature Factor Extraction to Forecast Very Short-Term Photovoltaic Output Powers
《CSEE Journal of Power and Energy Systems》2025年第2期661-670,共10页Mao Yang Xiaoxuan Shen Dawei Huang Xin Su 
supported by the National Key R&D Program of China(Technology and application of wind power/photovoltaic power prediction for promoting renewable energy consumption,2018YFB0904200).
In recent years, a spurt of photovoltaic power generation has brought certain impact on stability of the power system, which puts forward higher requirements on accuracy of photovoltaic power prediction. Therefore, th...
关键词:Deep neural networks fluctuation classification PARAFAC photovoltaic generation very short-term forecasting 
Detection of Acute Lymphoblastic Leukemia Using a Novel Bone Marrow Image Segmentation
《Tsinghua Science and Technology》2025年第2期610-623,共14页M.Anline Rejula Ben M Jebin Ravi Selvakumar S.Amutha Eberlein George 
In our study,we present a novel method for automating the segmentation and classification of bone marrow images to distinguish between normal and Acute Lymphoblastic Leukaemia(ALL).Built upon existing segmentation tec...
关键词:Adaptive Neuro-Fuzzy Inference System(ANFIS) blood cells SEGMENTATION leukemia classification 
Optimizing Cancer Classification and Gene Discovery with an Adaptive Learning Search Algorithm for Microarray Analysis
《Journal of Bionic Engineering》2025年第2期901-930,共30页Chiwen Qu Heng Yao Tingjiang Pan Zenghui Lu 
supported by the National Natural Science Foundation of China(Grant Number 62341210);Natural Science Foundation of Guangxi Province(Grant Number:2025GXNSFHA069267);Science and Technology Development Plan for Baise City(Grant Number 20233654).
DNA microarrays, a cornerstone in biomedicine, measure gene expression across thousands to tens of thousands of genes. Identifying the genes vital for accurate cancer classification is a key challenge. Here, we presen...
关键词:Gene selection Learning search algorithm Gene expression data CLASSIFICATION 
FPSMix: data augmentation strategy for point cloud classification
《Frontiers of Computer Science》2025年第2期105-113,共9页Taiyan CHEN Xianghua YING 
supported by the National Key R&D Program of China(No.2020YFB1708002);the National Natural Science Foundation of China(Grant Nos.62371009 and 61971008).
Data augmentation is a widely used regularization strategy in deep neural networks to mitigate overfitting and enhance generalization.In the context of point cloud data,mixing two samples to generate new training exam...
关键词:point cloud classification data augmentation loss function point cloud understanding point cloud analysis 
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