Haze scatters light transmitted in the air and reduces the visibility of images.Dealing with haze is still a challenge for image processing applications nowadays.For the purpose of haze removal,we propose an accelerat...Haze scatters light transmitted in the air and reduces the visibility of images.Dealing with haze is still a challenge for image processing applications nowadays.For the purpose of haze removal,we propose an accelerated dehazing method based on single pixels.Unlike other methods based on regions,our method estimates the transmission map and atmospheric light for each pixel independently,so that all parameters can be evaluated in one traverse,which is a key to acceleration.Then,the transmission map is bilaterally filtered to restore the relationship between pixels.After restoration via the linear hazy model,the restored images are tuned to improve the contrast,value,and saturation,in particular to offset the intensity errors in different channels caused by the corresponding wavelengths.The experimental results demonstrate that the proposed dehazing method outperforms the state-of-the-art dehazing methods in terms of processing speed.Comparisons with other dehazing methods and quantitative criteria(peak signal-to-noise ratio,detectable marginal rate,and information entropy difference)are introduced to verify its performance.展开更多
Background:Hepatocellular carcinoma(HCC)is frequently associated withmetabolism dysfunction.Increasing evidence has demonstrated the crucial role of lipidmetabolismin HCC progression.The function of apolipoprotein F(A...Background:Hepatocellular carcinoma(HCC)is frequently associated withmetabolism dysfunction.Increasing evidence has demonstrated the crucial role of lipidmetabolismin HCC progression.The function of apolipoprotein F(ApoF),a lipid transfer inhibitor protein,in HCC is incompletely understood.We aimed to evaluate the functional role of ApoF in HCC in this study.Methods:We used quantitative reverse-transcription polymerase chain reaction(qRT-PCR)to detect ApoF mRNA expression in HCC tissues and hepatoma cell lines(SMMC-7721,HepG2,and Huh7).Immunohistochemistry was performed to detect the expression of ApoF in HCC tissues.The associations between ApoF expression and clinicopathological features as well as HCC prognosis were analyzed.The effect of ApoF on cellular proliferation and growth of SMMC-7721 and Huh7 cells was examined in vitro and in vivo.Results:ApoF expression was significantly down-regulated at both mRNA and protein levels in HCC tissues as compared with adjacent tissues.In SMMC-7721 and Huh7 HCC cells,ApoF overexpression inhibited cell proliferation and migration.In a xenograft nude mouse model,ApoF overexpression effectively controlled HCC growth.Kaplan–Meier analysis results showed that the recurrence-free survival rate of HCC patients with low ApoF expression was significantly lower than that of other HCC patients.Low ApoF expression was associated with several clinicopathological features such as liver cirrhosis,Barcelona Clinic Liver Cancer stage and tumor-node-metastasis stage.Conclusions:ApoF expression was down-regulated in HCC,which was associated with low recurrence-free survival rate.ApoF may serve as a tumor suppressor in HCC and be a potential application for the treatment of this disease.展开更多
基金Project supported by the National Natural Science Foundation of China(Nos.U1664264 and U1509203)
文摘Haze scatters light transmitted in the air and reduces the visibility of images.Dealing with haze is still a challenge for image processing applications nowadays.For the purpose of haze removal,we propose an accelerated dehazing method based on single pixels.Unlike other methods based on regions,our method estimates the transmission map and atmospheric light for each pixel independently,so that all parameters can be evaluated in one traverse,which is a key to acceleration.Then,the transmission map is bilaterally filtered to restore the relationship between pixels.After restoration via the linear hazy model,the restored images are tuned to improve the contrast,value,and saturation,in particular to offset the intensity errors in different channels caused by the corresponding wavelengths.The experimental results demonstrate that the proposed dehazing method outperforms the state-of-the-art dehazing methods in terms of processing speed.Comparisons with other dehazing methods and quantitative criteria(peak signal-to-noise ratio,detectable marginal rate,and information entropy difference)are introduced to verify its performance.
基金This study was supported by grants from the National Natural Science Foundation of China[No.81572726]the Natural Science Foundation of Guangdong Province[No.2018A030313641 and No.2016A030313848]+1 种基金the Science and Technology Planning Project of Guangdong Province[No.2014A020212122 and No.2016A020212004]the Medical Research Foundation of Guangdong Province[No.A2016312].
文摘Background:Hepatocellular carcinoma(HCC)is frequently associated withmetabolism dysfunction.Increasing evidence has demonstrated the crucial role of lipidmetabolismin HCC progression.The function of apolipoprotein F(ApoF),a lipid transfer inhibitor protein,in HCC is incompletely understood.We aimed to evaluate the functional role of ApoF in HCC in this study.Methods:We used quantitative reverse-transcription polymerase chain reaction(qRT-PCR)to detect ApoF mRNA expression in HCC tissues and hepatoma cell lines(SMMC-7721,HepG2,and Huh7).Immunohistochemistry was performed to detect the expression of ApoF in HCC tissues.The associations between ApoF expression and clinicopathological features as well as HCC prognosis were analyzed.The effect of ApoF on cellular proliferation and growth of SMMC-7721 and Huh7 cells was examined in vitro and in vivo.Results:ApoF expression was significantly down-regulated at both mRNA and protein levels in HCC tissues as compared with adjacent tissues.In SMMC-7721 and Huh7 HCC cells,ApoF overexpression inhibited cell proliferation and migration.In a xenograft nude mouse model,ApoF overexpression effectively controlled HCC growth.Kaplan–Meier analysis results showed that the recurrence-free survival rate of HCC patients with low ApoF expression was significantly lower than that of other HCC patients.Low ApoF expression was associated with several clinicopathological features such as liver cirrhosis,Barcelona Clinic Liver Cancer stage and tumor-node-metastasis stage.Conclusions:ApoF expression was down-regulated in HCC,which was associated with low recurrence-free survival rate.ApoF may serve as a tumor suppressor in HCC and be a potential application for the treatment of this disease.