Digital image processing for the early localization of cancer

机译：用于癌症早期定位的数字图像处理

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Abstract: The prognosis for cancer patients becomes much better if a tumor is diagnosed, localized and treated early, in a precancerous stage. The difficulty lies in the localization of cancerous tumors. Carcinoma in situ (CIS) refers to a tumor which is approximately 100 microns thick and one which has not penetrated through the epithelium wall or become invasive (2). A tumor of this size cannot be detected by existing techniques such as x-ray, computer tomography, magnetic resonance imaging, nuclear medicine or conventional endoscopy under white-light illumination. However, these tumors can be localized and destroyed by photodynamic diagnosis and therapy. This research shows that digital image processing and the technique of digital image ratioing contribute to photodynamic diagnosis and the early localization of cancer. A software package has been developed as a result of this research. The software package quantifies the usefulness of digital image processing for tumor localization and detectability. System parameters such as the endoscope distance and angle variations, tumor size and tumor concentration, sensitivity and specificity of the system have been tested and quantified.!

机译：摘要：如果在癌前期及早诊断，定位和治疗肿瘤，则癌症患者的预后会好得多。困难在于癌性肿瘤的定位。原位癌（CIS）是指一种大约100微米厚的肿瘤，尚未穿透上皮壁或浸润（2）。这种大小的肿瘤无法通过现有技术（例如X射线，计算机断层扫描，磁共振成像，核医学或常规内窥镜在白光照射下）进行检测。但是，这些肿瘤可以通过光动力诊断和治疗来定位和破坏。这项研究表明，数字图像处理和数字图像配比技术有助于光动力诊断和癌症的早期定位。这项研究的结果是开发了一个软件包。该软件包量化了数字图像处理对肿瘤定位和可检测性的有用性。系统参数，例如内窥镜距离和角度变化，肿瘤大小和肿瘤浓度，系统的敏感性和特异性，已经过测试和量化。

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《Optical Methods for Tumor Treatment and Early Diagnosis: Mechanisms and Techniques》|1991年|p.47-57|共11页
会议地点 Los Angeles CA(US)
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Cheryl M. Kelmar; Univ. of California/Santa Barbara; Kelmar Associate s; and; Santa Barbara; CA; USA.;
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4. Digital image processing for the early localization of cancer [C] . Cheryl M. Kelmar Conference on optical methods for tumor treatment and early diagnosis . 1991

机译：癌症早期本地化的数字图像处理
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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

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Digital image processing for the early localization of cancer

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