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Whole-volume histogram analysis of spectral-computed tomography iodine maps characterizes HER2 expression in gastric cancer

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World Journal of Gastroenterology 2024年第38期30卷 4211-4220页

作者： Wei-Ling Zhang Jing Sun Rong-Fang Huang Yi Zeng Shu Chen Xiao-Peng Wang Jin-Hu Chen Yun-Bin Chen Chun-Su Zhu Zai-Sheng Ye You-Ping Xiao Department of Radiology Clinical Oncology School of Fujian Medical University&Fujian Cancer Hospital(Fujian Branch of Fudan University Affiliated Cancer Hospital)Fuzhou 350014Fujian ProvinceChina Department of Pathology Clinical Oncology School of Fujian Medical University&Fujian Cancer Hospital(Fujian Branch of Fudan University Affiliated Cancer Hospital)Fuzhou 350014Fujian ProvinceChina Department of Gastric Surgery Clinical Oncology School of Fujian Medical University&Fujian Cancer Hospital(Fujian Branch of Fudan University Affiliated Cancer Hospital)Fuzhou 350014Fujian ProvinceChina Department of Epidemiology Clinical Oncology School of Fujian Medical University&Fujian Cancer Hospital(Fujian Branch of Fudan University Affiliated Cancer Hospital)Fuzhou 350014Fujian ProvinceChina

BACKGROUND Although surgery remains the primary treatment for gastric cancer(GC),the identification of effective alternative treatments for individuals for whom surgery is unsuitable holds ***2 overexpression occurs in approximately 15%-20%of advanced GC cases,directly affecting treatment-related ***-computed tomography(sCT)enables the quantification of material compositions,and sCT iodine concentration parameters have been demonstrated to be useful for the diagnosis of GC and prediction of its invasion depth,angioge-nesis,and response to systemic *** existing report describes the prediction of GC HER2 status through histogram analysis based on sCT iodine maps(IMs).AIM To investigate whether whole-volume histogram analysis of sCT IMs enables the prediction of the GC HER2 *** This study was performed with data from 101 patients with pathologically confirmed GC who underwent preoperative sCT *** parameters were extracted via sCT IM histogram analysis:The minimum,maximum,mean,standard deviation,variance,coefficient of variation,skewness,kurtosis,entropy,percentiles(1st,5th,10th,25th,50th,75th,90th,95th,and 99th),and lesion *** correlations of the parameters with the HER2 status and clinicopathological parameters were *** operating characteristic curves were used to evaluate the parameters’diagnostic *** Values for the histogram parameters of the maximum,mean,standard deviation,variance,entropy,and percentiles were significantly lower in the HER2+group than in the HER2–group(all Phistogram parameters correlated positively with the GC HER2 status(r=0.

关键词： Gastric cancer Spectral computed tomography Iodine map histogram analysis

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Whole lesion histogram analysis of apparent diffusion coefficient predicts therapy response in locally advanced rectal cancer

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World Journal of Gastroenterology 2022年第23期28卷 2609-2624页

作者： Mayra Evelia Jiménez de los Santos Juan Armando Reyes-Pérez Victor Domínguez Osorio Yolanda Villaseñor-Navarro Liliana Moreno-Astudillo Itzel Vela-Sarmiento Isabel Sollozo-Dupont Department of Radiology National Cancer InstituteMexico 14080Mexico Department of Gastrointestinal Surgery National Cancer InstituteMexico 14080Mexico

BACKGROUND Whole-tumor apparent diffusion coefficient(ADC)histogram analysis is relevant to predicting the neoadjuvant chemoradiation therapy(nCRT)response in patients with locally advanced rectal cancer(LARC).AIM To evaluate the performance of ADC histogram-derived parameters for predicting the outcomes of patients with *** This is a single-center,retrospective study,which included 48 patients with *** patients underwent a pre-treatment magnetic resonance imaging(MRI)scan for primary tumor staging and a second restaging MRI for response *** sample was distributed as follows:18 responder patients(R)and 30 non-responders(non-R).Eight parameters derived from the whole-lesion histogram analysis(ADCmean,skewness,kurtosis,and ADC10^(th),25^(th),50^(th),75^(th),90^(th) percentiles),as well as the ADCmean from the hot spot region of interest(ROI),were calculated for each patient before and after *** all data were compared between R and non-R using the Mann-Whitney U *** measures of diagnostic accuracy were applied:the receiver operating characteristic curve and the diagnostic odds ratio(DOR).We also reported intra-and interobserver variability by calculating the intraclass correlation coefficient(ICC).RESULTS Post-nCRT kurtosis,as well as post-nCRT skewness,were significantly lower in R than in non-R(both P<0.001,respectively).We also found that,after treatment,R had a larger loss of both kurtosis and skewness than non-R(Δ%kurtosis and Δ skewness,P<0.001).Other parameters that demonstrated changes between groups were post-nCRT ADC10^(th),Δ%ADC10^(th),Δ%ADCmean,and ROIΔ%***,the best diagnostic performance was achieved byΔ%kurtosis at a threshold of 11.85%(Area under the receiver operating characteristic curve[AUC]=0.991,DOR=376),followed by post-nCRT kurtosis=0.78×10^(-3)mm^(2)/s(AUC=0.985,DOR=375.3),Δskewness=0.16(AUC=0.885,DOR=192.2)and post-nCRT skewness=1.59×10^(-3)mm^(2)/s(AUC=0.815,DOR=168.6).Finally,intraclass corr

关键词： Apparent diffusion coefficient Diffusion-weighted imaging histogram analysis Magnetic resonance imaging Locally advanced rectal cancer

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Automatic area estimation of algal blooms in water bodies from UAV images using texture analysis

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Water Science and Engineering 2024年第1期17卷 62-71页

作者： Ajmeria Rahul Gundu Lokesh Siddhartha Goswami R.N.Ponnalagu Radhika Sudha Department of Electrical and Electronics Engineering Birla Institute of Technology&SciencePilani Hyderabad CampusTelangana 500078India

Algal blooms,the spread of algae on the surface of water bodies,have adverse effects not only on aquatic ecosystems but also on human *** adverse effects of harmful algal blooms(HABs)necessitate a convenient solution for detection and *** aerial vehicles(UAVs)have recently emerged as a tool for algal bloom detection,efficiently providing on-demand images at high spatiotemporal *** study developed an image processing method for algal bloom area estimation from the aerial images(obtained from the internet)captured using *** a remote sensing method of HAB detection,analysis,and monitoring,a combination of histogram and texture analyses was used to efficiently estimate the area of *** features like entropy(using the Kullback-Leibler method)were emphasized with the aid of a gray-level co-occurrence *** results showed that the orthogonal images demonstrated fewer errors,and the morphological filter best detected algal blooms in real time,with a precision of 80%.This study provided efficient image processing approaches using on-board UAVs for HAB monitoring.

关键词： Algal bloom Image processing Texture analysis histogram analysis Unmanned aerial vehicles

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Image-based Water Level Measurement Method under Stained Ruler

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Journal of Measurement Science and Instrumentation 2010年第1期1卷 28-31页

作者： Jae-do KIM Young-joon HAN Hern-soo HAHN Dept.of Electronic Engineering Soongsil UniversitySeoul 156-743Korea

This paper propoes the water level measuring method based on the image, while the ruler used to indicate the water level is stained. The contamination of the ruler weakens or eliminates many features which are required for the image processing. However, the feature of the color difference between the ruler and the water surface are firmer on the environmental change compare to the other features. As the color differeaces are embossed, only the region of the ruler is limited to eliminate the noise, and the average image is produced by using several continuous frames. A histogram is then produced on the height axis of the produced intensity average image. Local peaks and local valleys are detected, and the section between the peak and valley which have the greatest change is looked for. The valley point at this very moment is used to detect the water level. The detected water level is then converted to the actual water level by using the mapping table. The proposed method is compared to the ultrasonic based method to evaluate its accuracy and efficiency on the various contaminated environments.

关键词： water level measurment image processing surveillancesystem histogram analysis

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High-accuracy real-time automatic thresholding for centroid tracker

High-accuracy real-time automatic thresholding for centroid ...

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20th Congress of the International Commission for Optics

作者： Zhang Yea,b, Wang Yanjiea aChangchun Institute of Optics, Fine Mechanics and Physics Chinese Academy of Sciences bGraduate School of Chinese Academy of Sciences Changchun 130033, China

Many of the video image trackers today use the centroid as the tracking point. In engineering, a target’s centroid is computed from a binary image to reduce the processing time. Hence thresholding of

关键词： Real-time Centroid Tracker Thresholding histogram analysis Otsu Snakes

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