AIM:To propose an algorithm for automatic detection of diabetic retinopathy(DR)lesions based on ultra-widefield scanning laser ophthalmoscopy(SLO).METHODS:The algorithm utilized the FasterRCNN(Faster Regions with CNN ...AIM:To propose an algorithm for automatic detection of diabetic retinopathy(DR)lesions based on ultra-widefield scanning laser ophthalmoscopy(SLO).METHODS:The algorithm utilized the FasterRCNN(Faster Regions with CNN features)+ResNet50(Residua Network 50)+FPN(Feature Pyramid Networks)method for detecting hemorrhagic spots,cotton wool spots,exudates,and microaneurysms in DR ultra-widefield SLO.Subimage segmentation combined with a deeper residual network FasterRCNN+ResNet50 was employed for feature extraction to enhance intelligent learning rate.Feature fusion was carried out by the feature pyramid network FPN,which significantly improved lesion detection rates in SLO fundus images.RESULTS:By analyzing 1076 ultra-widefield SLO images provided by our hospital,with a resolution of 2600×2048 dpi,the accuracy rates for hemorrhagic spots,cotton wool spots,exudates,and microaneurysms were found to be 87.23%,83.57%,86.75%,and 54.94%,respectively.CONCLUSION:The proposed algorithm demonstrates intelligent detection of DR lesions in ultra-widefield SLO,providing significant advantages over traditional fundus color imaging intelligent diagnosis algorithms.展开更多
This study aimed to compare the predictive value of six selected anthropometric indicators for benign prostatic hyperplasia(BPH).Males over 50 years of age who underwent health examinations at the Health Management Ce...This study aimed to compare the predictive value of six selected anthropometric indicators for benign prostatic hyperplasia(BPH).Males over 50 years of age who underwent health examinations at the Health Management Center of the Second Xiangya Hospital,Central South University(Changsha,China)from June to December 2020 were enrolled in this study.The characteristic data were collected,including basic anthropometric indices,lipid parameters,six anthropometric indicators,prostate-specific antigen,and total prostate volume.The odds ratios(ORs)with 95%confidence intervals(95%CIs)for all anthropometric parameters and BPH were calculated using binary logistic regression.To assess the diagnostic capability of each indicator for BPH and identify the appropriate cutoff values,receiver operating characteristic(ROC)curves and the related areas under the curves(AUCs)were utilized.All six indicators had diagnostic value for BPH(all P≤0.001).The visceral adiposity index(VAI;AUC:0.797,95%CI:0.759–0.834)had the highest AUC and therefore the highest diagnostic value.This was followed by the cardiometabolic index(CMI;AUC:0.792,95%CI:0.753–0.831),lipid accumulation product(LAP;AUC:0.766,95%CI:0.723–0.809),waist-to-hip ratio(WHR;AUC:0.660,95%CI:0.609–0.712),waist-to-height ratio(WHtR;AUC:0.639,95%CI:0.587–0.691),and body mass index(BMI;AUC:0.592,95%CI:0.540–0.643).The sensitivity of CMI was the highest(92.1%),and WHtR had the highest specificity of 94.1%.CMI consistently showed the highest OR in the binary logistic regression analysis.BMI,WHtR,WHR,VAI,CMI,and LAP all influence the occurrence of BPH in middle-aged and older men(all P≤0.001),and CMI is the best predictor of BPH.展开更多
It is of great importance to determine an unknown quantum state for fundamental studies of quantum mechanics,yet it is still difficult to characterize systems of large dimensions in practice.Although the scan-free dir...It is of great importance to determine an unknown quantum state for fundamental studies of quantum mechanics,yet it is still difficult to characterize systems of large dimensions in practice.Although the scan-free direct measurement approach based on a weak measurement scheme was proposed to measure a high-dimensional photonic state,how weak the interaction should be to give a correct estimation remains unclear.Here we propose and experimentally demonstrate a technique that measures a high-dimensional quantum state with the combination of scan-free measurement and direct strong measurement.The procedure involves sequential strong measurement,in which case no approximation is made similarly to the conventional direct weak measurement.We use this method to measure a transverse state of a photon with effective dimensionality of 65000 without the time-consumed scanning process.Furthermore,the high fidelity of the result and the simplicity of the experimental apparatus show that our approach can be readily used to measure the complex field of a beam in diverse applications such as wavefront sensing and quantitative phase imaging.展开更多
基金Supported by Hunan Provincial Science and Technology Department Clinical Medical Technology Innovation Guidance Project(No.2021SK50103)。
文摘AIM:To propose an algorithm for automatic detection of diabetic retinopathy(DR)lesions based on ultra-widefield scanning laser ophthalmoscopy(SLO).METHODS:The algorithm utilized the FasterRCNN(Faster Regions with CNN features)+ResNet50(Residua Network 50)+FPN(Feature Pyramid Networks)method for detecting hemorrhagic spots,cotton wool spots,exudates,and microaneurysms in DR ultra-widefield SLO.Subimage segmentation combined with a deeper residual network FasterRCNN+ResNet50 was employed for feature extraction to enhance intelligent learning rate.Feature fusion was carried out by the feature pyramid network FPN,which significantly improved lesion detection rates in SLO fundus images.RESULTS:By analyzing 1076 ultra-widefield SLO images provided by our hospital,with a resolution of 2600×2048 dpi,the accuracy rates for hemorrhagic spots,cotton wool spots,exudates,and microaneurysms were found to be 87.23%,83.57%,86.75%,and 54.94%,respectively.CONCLUSION:The proposed algorithm demonstrates intelligent detection of DR lesions in ultra-widefield SLO,providing significant advantages over traditional fundus color imaging intelligent diagnosis algorithms.
文摘This study aimed to compare the predictive value of six selected anthropometric indicators for benign prostatic hyperplasia(BPH).Males over 50 years of age who underwent health examinations at the Health Management Center of the Second Xiangya Hospital,Central South University(Changsha,China)from June to December 2020 were enrolled in this study.The characteristic data were collected,including basic anthropometric indices,lipid parameters,six anthropometric indicators,prostate-specific antigen,and total prostate volume.The odds ratios(ORs)with 95%confidence intervals(95%CIs)for all anthropometric parameters and BPH were calculated using binary logistic regression.To assess the diagnostic capability of each indicator for BPH and identify the appropriate cutoff values,receiver operating characteristic(ROC)curves and the related areas under the curves(AUCs)were utilized.All six indicators had diagnostic value for BPH(all P≤0.001).The visceral adiposity index(VAI;AUC:0.797,95%CI:0.759–0.834)had the highest AUC and therefore the highest diagnostic value.This was followed by the cardiometabolic index(CMI;AUC:0.792,95%CI:0.753–0.831),lipid accumulation product(LAP;AUC:0.766,95%CI:0.723–0.809),waist-to-hip ratio(WHR;AUC:0.660,95%CI:0.609–0.712),waist-to-height ratio(WHtR;AUC:0.639,95%CI:0.587–0.691),and body mass index(BMI;AUC:0.592,95%CI:0.540–0.643).The sensitivity of CMI was the highest(92.1%),and WHtR had the highest specificity of 94.1%.CMI consistently showed the highest OR in the binary logistic regression analysis.BMI,WHtR,WHR,VAI,CMI,and LAP all influence the occurrence of BPH in middle-aged and older men(all P≤0.001),and CMI is the best predictor of BPH.
基金Supported by the National Natural Science Foundation of China(Grant Nos.11574291,11774334,11774335,11674306 and 61590932)the Strategic Priority Research Program(B)of the Chinese Academy of Sciences(Grant No.XDB01030200)+2 种基金the National Key Research and Development Program of China(Grant Nos.2016YFA0301300,2016YFA0301700 and 2017YFA0304100)the Key Research Program of Frontier Science,CAS(Grant No.QYZDY-SSW-SLH003)Anhui Initiative in Quantum Information Technologies.
文摘It is of great importance to determine an unknown quantum state for fundamental studies of quantum mechanics,yet it is still difficult to characterize systems of large dimensions in practice.Although the scan-free direct measurement approach based on a weak measurement scheme was proposed to measure a high-dimensional photonic state,how weak the interaction should be to give a correct estimation remains unclear.Here we propose and experimentally demonstrate a technique that measures a high-dimensional quantum state with the combination of scan-free measurement and direct strong measurement.The procedure involves sequential strong measurement,in which case no approximation is made similarly to the conventional direct weak measurement.We use this method to measure a transverse state of a photon with effective dimensionality of 65000 without the time-consumed scanning process.Furthermore,the high fidelity of the result and the simplicity of the experimental apparatus show that our approach can be readily used to measure the complex field of a beam in diverse applications such as wavefront sensing and quantitative phase imaging.
文摘以共和盆地东部风成沉积剖面(MS剖面)磁化率为依据,运用四次回归方程重建了剖面形成时的年均气温和降水量,确定近12 ka以来共和盆地年均温度–0.37℃～5.09℃,多年平均温度为2.5℃,降水量267.91～550.77 mm,多年平均降水量为418.62 mm。对常量元素氧化物(SiO_2、Al_2O_3和Fe_2O_3)含量进行分析,结果表明:1)古土壤层SiO_2含量均低于风成砂层, Al_2O_3和Fe_2O_3含量均高于风成砂层; 2)风成砂层SiO_2含量S3>S5>S1,Al_2O_3和Fe_2O_3含量S5>S3>S1,揭示S3层形成时期冷干, S5层次之, S1层干旱程度较弱;土壤层SiO_2含量S4>S2>S6, Al_2O_3和Fe_2O_3含量为S6>S2>S4,表明S6形成时期气候温湿, S2层次之, S4层温湿程度较低; 3)分层氧化物变异系数大小表明S2和S6层形成时气候波动剧烈, S1和S3层形成时期气候较稳定。以常量元素氧化物含量、温度和降水为依据,结合14C测年,重建了近12 ka以来共和盆地环境演变过程:11.9 ka BP以前为凉干期,11.9～9.7 ka BP为温湿期, 9.7～8.0 ka BP为冷干期, 8.0～4.8 ka BP为暖湿期, 4.8～2.9 ka BP为凉干期, 2.9 ka BP以来为温润期。马四剖面记录的环境演变过程与青藏高原其他区域环境演变过程具有相似性,表明共和盆地环境演变与区域环境变化具有同步性。
