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5篇 您的检索式:作者名="Rusong MENG"
    题名 作者 年代 出处 被引量
1Adaptive segmentation based on multi-classification model for dermoscopy images显示文摘Fengying XIE Yefen WU Yang LI Zhiguo JIANG Rusong MENG 2015Frontiers of Computer Science2015,9,5:2
2Early di- agnosis for cutaneous malignant melanoma based on the intellectualized classification and recognition for images of melanocytic tumour by dermoscopy 显示文摘Meng Rusong Meng Xiao Xie Fengying 2012Journal of Bio- medical Graphics and Computing2012,,2:1
3Summarization and comparison of dermoscopic features on different subtypes of rosacea显示文摘Background:The dermoscopic features of rosacea have already been reported.However,the current findings are incomplete,and little is known about phymatous rosacea.Hence,this study aimed to summarize and compare the dermoscopic features and patterns of three rosacea subtypes(erythematotelangiectatic[ETR],papulopustular[PPR],and phymatous[PHR])in the Chinese Han population and to evaluate whether these features differ with patients’genders,ages,and durations.Methods:Dermoscopic images of 87 rosacea patients were collected in non-polarized and polarized dermoscopy contact modes at 20-fold magnification.Dermoscopic features,including vessels,scales,follicular findings,and other structures,were summarized and evaluated.Results::The reticular linear vessels and red diffuse structureless areas of ETR were distinctive.For PPR,red diffuse structureless areas,reticular linear vessels,yellow scales,follicular plugs,and follicular pustules were typical dermoscopic criteria.The common dermoscopic features of PHR were:orange diffuse structureless areas,linear vessels with branches,perifollicular white color,orange focal structureless areas,and white lines.The following features statistically differed among the three rosacea subtypes:reticular linear vessels(P<0.001),unspecific linear vessels(P=0.005),linear vessels with branches(P<0.001),yellow scales(P=0.001),follicular plugs(P<0.001),perifollicular white color(P<0.001),red diffuse structureless areas(P=0.022),orange diffuse structureless areas(P<0.001),red focal structureless areas(P=0.002),orange focal structureless areas(P=0.003),white lines(P<0.001),follicular pustules(P<0.001),and black vellus hairs(P<0.001).Conclusions:The dermoscopic patterns of ETR are red diffuse structureless areas and reticular linear vessels.For PPR,the pattern comprehends combinations of red diffuse structureless areas,reticular linear vessels,yellow scales,follicular plugs,and follicular pustules.Meanwhile,PHR is characterized by remarkable orange diffuse structureless areas,linear vessels with branches,perifollicular white color,orange focal structureless areas,and white lines.Wenmin Fei Yang Han Ang Li Keke Li Xiaoli Ning Chengxu Li Wenju Wang Rusong Meng Yong Cui 2022Chinese Medical Journal2022,,12:1
4Construction of an artificial intelligence system in dermatology: effectiveness and consideration of Chinese Skin Image Database (CSID)显示文摘After more than 60 years of development,artificial intelligence(AI)has been widely used in various fields.Especially in recent years,with the development of deep learning,AI has made many remarkable achievements in the medical field.Dermatology,as a clinical discipline with morphology as its main feature,is particularly suitable for the development of AI.The rapid development of skin imaging technology has helped dermatologists to assist in the diagnosis of diseases and has greatly improved the accuracy of diagnosis.Skin imaging data have natural big data attributes,which is important for AI research.The establishment of the Chinese Skin Image Database(CSID)has solved many problems such as isolated data islands and inconsistent data quality.Based on the CSID,many pioneering achievements have been made in the research and development of AI-assisted decision-making software,the establishment of expert organizations,personnel training,scientific research,and so on.At present,there are still many problems with AI in the field of dermatology,such as clinical validation,medical device licensing,interdisciplinary,and standard formulation,which urgently need to be solved by joint efforts of all parties.Chengxu Li Wenmin Fei Yang Han Xiaoli Ning Ziyi Wang Keke Li Ke Xue Jingkai Xu Ruixing Yu Rusong Meng Feng Xu Weimin Ma Yong Cui 2021Intelligent Medicine2021,1,2:1
5Non-invasive detection technology in port-wine stain treatment显示文摘Port-wine stain(PWS)is a type of disfiguring disease and its molecular pathogenesis remains ambiguous.The current gold standard treatment for PWS is pulsed dye laser(PDL);[1]meanwhile hematoporphyrin monomethyl ether-photodynamic therapy(HMME-PDT)has also been utilized for clinical use for 5 years.[2]Due to the vascular heterogeneity,it is difficult to predict and evaluate its efficacy with naked eyes.Therefore,a technology that is consistent,repeatable,and non-invasive will be required to provide accurate images and quantitative evaluation indicators.In this study,we have reviewed dermoscopy,reflectance confocal microscopy(RCM),high-frequency ultrasound(HFUS),optical coherence tomography(OCT),and laser speckle imaging(LSI),etc.in predicting efficacy,intra-operative monitoring,and objective evaluation of effectiveness of PWS treatment[Figure 1].Xue Wang Yangxue Fu Yan Liu Wenjia Nie Xingyu Su Xianbiao Zou Rusong Meng Yan Li Juan Tao 2022Chinese Medical Journal2022,135,21:0
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