Image quality assessment(IQA)is constantly innovating,but there are still three types of stickers that have not been resolved:the“content sticker”-limitation of training set,the“annotation sticker”-subjective inst...Image quality assessment(IQA)is constantly innovating,but there are still three types of stickers that have not been resolved:the“content sticker”-limitation of training set,the“annotation sticker”-subjective instability in opinion scores and the“distortion sticker”-disordered distortion settings.In this paper,a No-Reference Image Quality Assessment(NR IQA)approach is proposed to deal with the problems.For“content sticker”,we introduce the idea of pairwise comparison and generate a largescale ranking set to pre-train the network;For“annotation sticker”,the absolute noise-containing subjective scores are transformed into ranking comparison results,and we design an indirect unsupervised regression based on EigenValue Decomposition(EVD);For“distortion sticker”,we propose a perception-based distortion classification method,which makes the distortion types clear and refined.Experiments have proved that our NR IQA approach Experiments show that the algorithm performs well and has good generalization ability.Furthermore,the proposed perception based distortion classification method would be able to provide insights on how the visual related studies may be developed and to broaden our understanding of human visual system.展开更多
Considering that there is no single full reference image quality assessment method that could give the best performance in all situations, some multi-method fusion metrics were proposed. Machine learning techniques ar...Considering that there is no single full reference image quality assessment method that could give the best performance in all situations, some multi-method fusion metrics were proposed. Machine learning techniques are often involved in such multi-method fusion metrics so that its output would be more consistent with human visual perceptions. On the other hand, the robustness and generalization ability of these multi-method fusion metrics are questioned because of the scarce of images with mean opinion scores. In order to comprehensively validate whether or not the generalization ability of such multi-method fusion IQA metrics are satisfying, we construct a new image database which contains up to 60 reference images. The newly built image database is then used to test the generalization ability of different multi-method fusion IQA metrics. Cross database validation experiment indicates that in our new image database, the performances of all the multi-method fusion IQA metrics have no statistical significant different with some single-method IQA metrics such as FSIM and MAD. In the end, a thorough analysis is given to explain why the performance of multi-method fusion IQA framework drop significantly in cross database validation.展开更多
Aim:The study aimed to investigate the short-term outcomes of hospitalized patients with chronic liver disease(CLDs)and assess the prognostic impact of predisposition and precipitants,which currently remains unclear.M...Aim:The study aimed to investigate the short-term outcomes of hospitalized patients with chronic liver disease(CLDs)and assess the prognostic impact of predisposition and precipitants,which currently remains unclear.Methods:The study included 3970 hospitalized patients with CLDs from two prospective longitudinal multicenter studies(NCT02457637 and NCT03641872)conducted in highly endemic hepatitis B virus(HBV)areas.Competing risk analysis was used to evaluate the effect of predispositions,including the etiology and severity of CLDs and precipitants;on sequential 28,90,and 365-day liver transplantation(LT)-free mortality.Results:Among all enrolled patients,76.8%of adverse outcomes(including death and LT)within one year occurred within 90 days.Compared with alcoholic etiology,the association of HBV etiology with poorer outcomes was remarkably on the 28th day(hazard ratio[HR],1.81;95%confidence interval[CI],1.07-3.06;p=0.026);however,and dimin-ished or became insignificant at 90 days and 365 days.Cirrhosis increased the adjusted risk for 365-day(HR,1.50;CI,1.13-1.99;p=0.004)LT-free mortality when compared with noncirrhosis.In patients with cirrhosis,prior decompensation(PD)independently increased the adjusted risk of 365-day LT-free mortality by 1.25-fold(p=0.021);however,it did not increase the risk for 90-day mortality.Neither the category nor the number of precipitants influenced the adjusted risk of 28 or 90-day LT-free mortality.Conclusions:The 90-day outcome should be considered a significant endpoint for evaluating the short-term prognosis of hospitalized patients with CLD.Predisposing factors,other than etiology,mainly affected the delayed(365-day)outcome.Timely effective therapy for CLD etiology,especially antiviral treatments for HBV,and post-discharge long-term surveillance monitoring in cirrhotic patients undergoing PD are suggested to enhance disease management and reduce mortality.展开更多
基金supported by the Specialized Research Fund for the Doctoral Program of Higher Education of China, "Research of Visual Perception for Impairments of Color Information in High-Definition Images" (No.20110018110001)
文摘Image quality assessment(IQA)is constantly innovating,but there are still three types of stickers that have not been resolved:the“content sticker”-limitation of training set,the“annotation sticker”-subjective instability in opinion scores and the“distortion sticker”-disordered distortion settings.In this paper,a No-Reference Image Quality Assessment(NR IQA)approach is proposed to deal with the problems.For“content sticker”,we introduce the idea of pairwise comparison and generate a largescale ranking set to pre-train the network;For“annotation sticker”,the absolute noise-containing subjective scores are transformed into ranking comparison results,and we design an indirect unsupervised regression based on EigenValue Decomposition(EVD);For“distortion sticker”,we propose a perception-based distortion classification method,which makes the distortion types clear and refined.Experiments have proved that our NR IQA approach Experiments show that the algorithm performs well and has good generalization ability.Furthermore,the proposed perception based distortion classification method would be able to provide insights on how the visual related studies may be developed and to broaden our understanding of human visual system.
基金supported by “the Fundamental Research Funds for the Central Universities” No.2018CUCTJ081
文摘Considering that there is no single full reference image quality assessment method that could give the best performance in all situations, some multi-method fusion metrics were proposed. Machine learning techniques are often involved in such multi-method fusion metrics so that its output would be more consistent with human visual perceptions. On the other hand, the robustness and generalization ability of these multi-method fusion metrics are questioned because of the scarce of images with mean opinion scores. In order to comprehensively validate whether or not the generalization ability of such multi-method fusion IQA metrics are satisfying, we construct a new image database which contains up to 60 reference images. The newly built image database is then used to test the generalization ability of different multi-method fusion IQA metrics. Cross database validation experiment indicates that in our new image database, the performances of all the multi-method fusion IQA metrics have no statistical significant different with some single-method IQA metrics such as FSIM and MAD. In the end, a thorough analysis is given to explain why the performance of multi-method fusion IQA framework drop significantly in cross database validation.
基金Clinical Research Plan of SHDC,Grant/Award Number:SHDC2020CR1037BShanghai Municipal Key Clinic Specialty,Grant/Award Number:shslczdzk00602+16 种基金National Key R&D Program of China,Grant/Award Number:2017YFC0908100National Science and Technology Major Project,Grant/Award Numbers:2018ZX10302206,2018ZX10723203,2017ZX10202202Shanghai Municipal Education Commission–Guofeng Clinical Medicine Grant Support,Grant/Award Number:20152213National Natural Science Foundation of China,Grant/Award Numbers:82170629,81930061,81900579,81970550,82070613,82070650,81972265,81870425,81774234Shanghai Hospital Development Commission,Grant/Award Number:16CR1024BChongqing Natural Science Foundation,Grant/Award Number:CSTC2019jcyjzdxmX0004Beijing Municipal Science&Technology Commission,Grant/Award Number:Z191100006619033Local Innovative and Research Teams Project of Guangdong Pearl River Talents Program,Grant/Award Number:2017BT01S131Clinical Research Program of Nanfang Hospital,Southern Medical University,Grant/Award Numbers:2018CR037,2020CR026Clinical Research Startup Program of Southern Medical University by High-level University Construction Funding of Guangdong Provincial Department of Education,Grant/Award Number:LC2019ZD006President Foundation of Nanfang Hospital,Southern Medical University,Grant/Award Number:2019Z003Foundation for Innovative Research Groups of Hubei Provincial Natural Science Foundation,Grant/Award Number:2018CFA031Hubei Province's Outstanding Medical Academic Leader Program and Project of Hubei University of Medicine,Grant/Award Numbers:FDFR201902,2020XGFYZR05Fundamental Research Funds for the Central Universities,Grant/Award Number:2021FZZX001-41Guangdong Basic and Applied Basic Research Foundation,Grant/Award Number:2020A1515010052Natural Fund of Guangdong Province,Grant/Award Number:2016A030313237Guangzhou City Science and Technology Project,Grant/Award Number:201607010064。
文摘Aim:The study aimed to investigate the short-term outcomes of hospitalized patients with chronic liver disease(CLDs)and assess the prognostic impact of predisposition and precipitants,which currently remains unclear.Methods:The study included 3970 hospitalized patients with CLDs from two prospective longitudinal multicenter studies(NCT02457637 and NCT03641872)conducted in highly endemic hepatitis B virus(HBV)areas.Competing risk analysis was used to evaluate the effect of predispositions,including the etiology and severity of CLDs and precipitants;on sequential 28,90,and 365-day liver transplantation(LT)-free mortality.Results:Among all enrolled patients,76.8%of adverse outcomes(including death and LT)within one year occurred within 90 days.Compared with alcoholic etiology,the association of HBV etiology with poorer outcomes was remarkably on the 28th day(hazard ratio[HR],1.81;95%confidence interval[CI],1.07-3.06;p=0.026);however,and dimin-ished or became insignificant at 90 days and 365 days.Cirrhosis increased the adjusted risk for 365-day(HR,1.50;CI,1.13-1.99;p=0.004)LT-free mortality when compared with noncirrhosis.In patients with cirrhosis,prior decompensation(PD)independently increased the adjusted risk of 365-day LT-free mortality by 1.25-fold(p=0.021);however,it did not increase the risk for 90-day mortality.Neither the category nor the number of precipitants influenced the adjusted risk of 28 or 90-day LT-free mortality.Conclusions:The 90-day outcome should be considered a significant endpoint for evaluating the short-term prognosis of hospitalized patients with CLD.Predisposing factors,other than etiology,mainly affected the delayed(365-day)outcome.Timely effective therapy for CLD etiology,especially antiviral treatments for HBV,and post-discharge long-term surveillance monitoring in cirrhotic patients undergoing PD are suggested to enhance disease management and reduce mortality.