Abnormality Detection Inside Blood Vessels With Mobile Nanomachines
نویسندگان
چکیده
منابع مشابه
Blood Vessels Detection Using Fuzzy Inference System
The accurate analysis of Coronary angiographic images plays an important role in diagnosing arterial diseases. All angiograms suffer from varying background, consisting of heart tissues, which harden accurate detection of vessels. Therefore removing background is one of the important steps which have essential effect on improving performance of subsequent steps of vessel detection algorithm, es...
متن کاملDetection of Blood Vessels in Color Fundus Images using a Local Radon Transform
Introduction: This paper addresses a method for automatic detection of blood vessels in color fundus images which utilizes two main tools: image partitioning and local Radon transform. Material and Methods: The input images are firstly divided into overlapping windows and then the Radon transform is applied to each. The maximum of the Radon transform in each window corresponds to the probable a...
متن کاملApproaches to Abnormality Detection with Constraints
A common problem in data analysis is that of discriminating between modes of normal behavior and modes of abnormal behavior. Of particular interest are techniques that can automatically detect abnormal activity in data. This is important since, for example, abnormal data may be indicative of measurement error in scientific data, or malicious activity in security audit data. Efficient detection ...
متن کاملBlood Vessels
This excellent monograph by Phillippe Sengel brings together an enormous body of data on the embryonic development of the skin in mammals, birds, and reptiles, and most of the information available on the many chemical factors and tissue interactions which produce these changes. The book is divided into four sections. The first describes the histogenesis of developing skin visible with the ligh...
متن کاملMachine Learning Applied to the Detection of Retinal Blood Vessels
The field of ophthalmology (the study of the eye) has increasingly turned to medical imaging to play an important role in diagnosing diseases. Widespread medical conditions can be identified with only pictures of the eye using computer automated processes. Determining the segmentation of the circulatory system in the eye is difficult for doctors as the task of distinguishing blood vessels by si...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Molecular, Biological and Multi-Scale Communications
سال: 2018
ISSN: 2372-2061,2332-7804
DOI: 10.1109/tmbmc.2019.2913399