Characteristics of subjective recognition and computer-aided image analysis of facial erythematous skin diseases: a cornerstone of automated diagnosis

Choi J. W.; Kim B. R.; Lee H. S.; Youn S. W.

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Characteristics of subjective recognition and computer-aided image analysis of facial erythematous skin diseases: a cornerstone of automated diagnosis

机译：面部红斑性皮肤病的主观识别特征和计算机辅助图像分析：自动诊断的基础

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Background Rosacea and seborrhoeic dermatitis are common diseases that cause facial erythema. They have common features and are frequently misdiagnosed.

机译：背景酒渣鼻和脂溢性皮炎是引起面部红斑的常见疾病。它们具有共同的特征，并且经常被误诊。

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《British Journal of Dermatology 》 |2014年第2期| 共7页
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Choi J. W.; Kim B. R.; Lee H. S.; Youn S. W.;
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中图分类皮肤病学与性病学 ;
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1. Characteristics of subjective recognition and computer-aided image analysis of facial erythematous skin diseases: a cornerstone of automated diagnosis [J] . Choi J. W., Kim B. R., Lee H. S., British Journal of Dermatology . 2014 ,第2期

机译：面部红斑性皮肤病的主观识别特征和计算机辅助图像分析：自动诊断的基础
2. Extraction, selection and comparison of features for an effective automated computer-aided diagnosis of Parkinson's disease based on [I-123]FP-CIT SPECT images [J] . Oliveira Francisco P. M., Faria Diogo Borges, Costa Durval C., European Journal of Nuclear Medicine and Molecular Imaging . 2018 ,第6期

机译：基于[I-123] FP-CIT SPECT图像的有效自动化计算机辅助诊断特征的提取，选择和比较
3. An automated eye disease recognition system from visual content of facial images using machine learning techniques [J] . Ashraf? AKRAM, Rameswar DEBNATH Turkish Journal of Electrical Engineering and Computer Sciences . 2020 ,第2期

机译：采用机器学习技术的面部图像视觉含量的自动眼病识别系统
4. Classification of Erythematous - Squamous Skin Diseases Through SVM Kernels and Identification of Features with 1-D Continuous Wavelet Coefficient [C] . Yeliz Karaca, Ahmet Sertbas, Senguel Bayrak International conference on computational science and its applications . 2018

机译：通过SVM核分类的红斑性皮肤疾病和一维连续小波系数的特征识别。
5. Towards prevention and early diagnosis of skin cancer: Computer-aided analysis of dermoscopy images. [D] . Sadeghi, Maryam. 2012

机译：致力于皮肤癌的预防和早期诊断：皮肤镜检查图像的计算机辅助分析。
6. Syntactic analysis and languages of shape feature description in computer-aided diagnosis and recognition of cancerous and inflammatory lesions of organs in selected X-ray images [O] . Marek R. Ogiela, Ryszard Tadeusiewicz 1999

机译：在计算机辅助诊断和识别X射线图像中器官的癌性和炎症性病变中的句法分析和形状特征描述语言
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

Characteristics of subjective recognition and computer-aided image analysis of facial erythematous skin diseases: a cornerstone of automated diagnosis

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