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Computer-assisted Sonographic Analysis of the Hepatorenal and Textural Features for the Diagnosis of the Fatty Liver

机译：肝肾和结构特征的计算机辅助超声检查对脂肪肝的诊断

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We investigated the B-mode ultrasound (US) images of abdomen by normalizing the gray level values of the liver with the representative gray levels (RGL''s) of the liver parenchyma, renal cortex, subcutaneous fat, to quantify the fatty infiltration of the liver (FIL). The RGL''s were compared with the clinical diagnosis of the FIL showing good correlation between them

机译：我们通过将肝脏的灰度值与肝实质，肾皮质，皮下脂肪的代表性灰度值（RGL）归一化来研究腹部的B型超声（US）图像，以量化脂肪的浸润肝脏（FIL）。将RGL与FIL的临床诊断进行比较，显示它们之间具有良好的相关性

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《》|2005年|3348-3350|共3页
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Ji-Wook Jeong; Sooyeul Lee; Jeong Won Lee; Done-Sik Yoo; Seunghwan Kim;
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biomedical ultrasonics; image texture; kidney; liver; medical image processing; B-mode ultrasound images; abdomen; clinical diagnosis; computer-assisted sonographic analysis; fatty infiltration; fatty liver diagnosis; hepatorenal features; liver parenchyma; renal cort;

机译：生物医学超声;图像纹理;肾脏;肝脏;医学图像处理; B型超声图像;腹部;临床诊断;计算机辅助超声分析;脂肪浸润;脂肪肝诊断;肝肾功能;肝实质;肾皮质;

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1. Statistical-techniques-based computer-aided diagnosis (CAD) using texture feature analysis: Application in computed tomography (CT) imaging to fatty liver disease [J] . Chung W.-K., Park H.-H., Im I.-C., Journal of the Korean Physical Society . 2012,第5期

机译：使用纹理特征分析的基于统计技术的计算机辅助诊断（CAD）：在计算机断层扫描（CT）成像对脂肪肝疾病中的应用
2. Association between sonographic diagnosis of fatty liver with histopathologic abnormalities and liver biopsy findings in middle age patient with non-alcoholic fatty liver disease [J] . Hamid Kalantari, Farhad Moradi, Akbar Hassanzade Advanced Biomedical Research . 2016,第1期

机译：超声诊断脂肪肝与组织病理学异常与中年非酒精性脂肪肝患者肝活检发现之间的关系
3. Robust Texture Analysis Using Multi-Resolution Gray-Scale Invariant Features for Breast Sonographic Tumor Diagnosis [J] . Yang M.-C., Moon W.K., Wang Y.-C.F., IEEE Transactions on Medical Imaging . 2013,第12期

机译：使用多分辨率灰度不变特征进行乳腺超声影像学诊断的稳健纹理分析
4. Computer-assisted Sonographic Analysis of the Hepatorenal and Textural Features for the Diagnosis of the Fatty Liver [C] . Ji-Wook Jeong, Sooyeul Lee, Jeong Won Lee, Annual International Conference IEEE Engineering in Medicine and Biology Society . 2005

机译：计算机辅助超声分析对脂肪肝诊断的肝肾和纹理特征
5. Detection of Histological Features in Liver Biopsy Images to Help Identify Non-Alcoholic Fatty Liver Disease [D] . Sethunath, Deepak. 2018

机译：检测肝活检图像中的组织学特征，以帮助鉴定非酒精性脂肪肝病
6. Unsupervised consensus cluster analysis of 18F-fluoroethyl-L-tyrosine positron emission tomography identified textural features for the diagnosis of pseudoprogression in high-grade glioma [O] . Sied Kebir, Zain Khurshid, Florian C. Gaertner, 2017

机译：18F-氟乙基-L-酪氨酸正电子发射断层扫描的无监督共识聚类分析确定了用于诊断高级胶质瘤假进展的组织学特征
7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常

Computer-assisted Sonographic Analysis of the Hepatorenal and Textural Features for the Diagnosis of the Fatty Liver

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