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作品数：841被引量：976H指数：12
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A Transformer Based on Feedback Attention Mechanism for Diagnosis of Coronary Heart Disease Using Echocardiographic Images
《Computers, Materials & Continua》2025年第5期3435-3450,共16页Chunlai Du Xin Gu Yanhui Guo Siqi Guo Ziwei Pang Yi Du Guoqing Du 
supported by the National Natural Science Foundation of China(82071948,82472003);Discovery Partners Institute and Shield of Illinois,Guangdong Natural Science Foundation(2022A1515011675);the Scientific Research Fund for Hundred Talents Program Talent Introduction of Sun Yat-sen University(1320323001).
Coronary artery disease is a highly lethal cardiovascular condition,making early diagnosis crucial for patients.Echocardiograph is employed to identify coronary heart disease(CHD).However,due to issues such as fuzzy o...
关键词：Computer-aided diagnosis(CAD) TRANSFORMER coronary heart disease feedback self-attention mechanism 
Automatic diagnosis of extraocular muscle palsy based on machine learning and diplopia images
《International Journal of Ophthalmology(English edition)》2025年第5期757-764,共8页Xiao-Lu Jin Xue-Mei Li Tie-Juan Liu Ling-Yun Zhou 
Supported by National Natural Science Foundation of China(No.82074524);Harbin Medical University Graduate Research and Practice Innovation Project(No.YJSCX2023-50HYD).
AIM:To develop different machine learning models to train and test diplopia images and data generated by the computerized diplopia test.METHODS:Diplopia images and data generated by computerized diplopia tests,along w...
关键词：machine learning extraocular muscle paralysis automatic diagnosis diplopia images 
Efficient Fully Convolutional Network and Optimization Approach for Robotic Grasping Detection Based on RGB-D Images
《Journal of Shanghai Jiaotong university(Science)》2025年第2期399-416,共18页NIE Wei LIANG Xinwu 
the National Natural Science Foundation of China(No.62173230);the Program of Science and Technology Commission of Shanghai Municipality(No.22511101400)。
Robot grasp detection is a fundamental vision task for robots.Deep learning-based methods have shown excellent results in enhancing the grasp detection capabilities for model-free objects in unstructured scenes.Most p...
关键词：deep learning object grasping detection fully convolutional neural network robot vision 
Enhancing mineral processing with deep learning: Automated quartz identification using thin section images
《International Journal of Minerals,Metallurgy and Materials》2025年第4期802-816,共15页Gökhan Külekçi Kemal Hacıefendioğlu Hasan Basri Başağa 
The precise identification of quartz minerals is crucial in mineralogy and geology due to their widespread occurrence and industrial significance.Traditional methods of quartz identification in thin sections are labor...
关键词：quartz mineral identification deep learning hyperspectral imaging deep learning in geology 
A combined system with convolutional neural networks and transformers for automated quantification of left ventricular ejection fraction from 2D echocardiographic images
《Intelligent Medicine》2025年第1期46-53,共8页Mingming Lin Liwei Zhang Zhibin Wang Hengyu Liu Keqiang Wang Guozhang Tang Wenkai Wang Pin Sun 
Background Accurate measurement of left ventricular ejection fraction(LVEF)is crucial in diagnosing and managing cardiac conditions.Deep learning(DL)models offer potential to improve the consistency and efficiency of ...
关键词：Lightweight model TRANSFORMER Left ventricular ejection fraction Device integration ECHOCARDIOGRAPHY 
Transformer-based skeleton extraction from all-sky images for estimating the number of auroral arcs
《Advances in Polar Science》2025年第1期61-73,共13页WANG Qian ZHANG Wei MIAO Miao 
supported by the National Natural Science Foundation of China(Grant no.41874173)。
Studying various aurora morphology helps us understand space's physical processes and the mechanisms behind these patterns.Auroral arcs are the brightest and most prominent auroral patterns.Due to the difficulty in pr...
关键词：AURORA all-sky image skeleton extraction 
ProNet:Underwater Forward-Looking Sonar Images Target Detection Network Based on Progressive Sensitivity Capture
《Computers, Materials & Continua》2025年第3期4931-4948,共18页Kaiqiao Wang Peng Liu Chun Zhang 
supported in part by Youth Innovation Promotion Association,Chinese Academy of Sciences under Grant 2022022;in part by South China Sea Nova project of Hainan Province under Grant NHXXRCXM202340;in part by the Scientific Research Foundation Project of Hainan Acoustics Laboratory under grant ZKNZ2024001.
Underwater target detection in forward-looking sonar(FLS)images is a challenging but promising endeavor.The existing neural-based methods yield notable progress but there remains room for improvement due to overlookin...
关键词：Forward-looking sonar image target detection subspace decomposition progressive sensitivity capture 
Artificial intelligence model on images of functional dyspepsia
《Artificial Intelligence in Gastrointestinal Endoscopy》2025年第1期1-11,共11页Hiroshi Mihara Sohachi Nanjo Iori Motoo Takayuki Ando Haruka Fujinami Ichiro Yasuda 
BACKGROUND Recently,it has been suggested that the duodenum may be the pathological locus of functional dyspepsia(FD).Additionally,an image-based artificial intelligence(AI)model was shown to discriminate colonoscopy ...
关键词：Artificial Intelligence Cloud-based DUODENUM Functional dyspepsia 
Deep learning-based multi-task prediction of response to neoadjuvant chemotherapy using multiscale whole slide images in breast cancer:A multicenter study
《Chinese Journal of Cancer Research》2025年第1期28-47,共20页Qin Wang Feng Zhao Haicheng Zhang Tongpeng Chu Qi Wang Xipeng Pan Yuqian Chen Heng Zhou Tiantian Zheng Ziyin Li Fan Lin Haizhu Xie Heng Ma Lan Liu Lina Zhang Qin Li Weiwei Wang Yi Dai Ruijun Tang Jigang Wang Ping Yang Ning Mao 
supported by the National Natural Science Foundation of China(No.82371933);the National Natural Science Foundation of Shandong Province of China(No.ZR2021MH120);the Taishan Scholars Project(No.tsqn202211378);the Shandong Provincial Natural Science Foundation for Excellent Young Scholars(No.ZR2024YQ075).
Objective:Early predicting response before neoadjuvant chemotherapy(NAC)is crucial for personalized treatment plans for locally advanced breast cancer patients.We aim to develop a multi-task model using multiscale who...
关键词：Artificial intelligence breast cancer digital pathology whole slide images 
LucIE: Language-guided local image editing for fashion images
《Computational Visual Media》2025年第1期179-194,共16页Huanglu Wen Shaodi You Ying Fu 
Language-guided fashion image editing is challenging,as fashion image editing is local and requires high precision,while natural language cannot provide precise visual information for guidance.In this paper,we propose...
关键词：deep learning language-guided image editing local image editing content preservation fashion images 
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