How Long to Read Feature Extraction and Different Classifiers Applied for Detection of Abnormalities in Computer Tomography (CT) Images

How Long Does it Take to Read Feature Extraction and Different Classifiers Applied for Detection of Abnormalities in Computer Tomography (CT) Images?

It takes the average reader and 34 minutes to read Feature Extraction and Different Classifiers Applied for Detection of Abnormalities in Computer Tomography (CT) Images by Sunil Kumar Prabhakar

Assuming a reading speed of 250 words per minute. Learn more

Description

Scientific Study from the year 2014 in the subject Medicine - Other, , language: English, abstract: Abnormality detection using classifiers is one of the recent research areas where much importance is given. It is one of the critical issues where excessive care needs to be taken for better diagnosis. An input image may contain excessive information either wanted or unwanted which depends upon the problem formulation. The problem in this project is to analyze the performance of the classifier in terms of its efficiency in detecting abnormalities in medical images. Any classifier needs to detect the carcinogenesis with respect to the efficiency in time of detection and performance. Here two classifiers are selected namely Singular Value Decomposition (SVD), and Principle Component Analysis (PCA). Both the SVD and PCA are applied for dual class classification procedure. The performance analysis of all these classifiers are analyzed using the classifier performance measures like, Sensitivity, Selectivity, Average Detection, Perfect Classification, Missed Classification, False Alarm, F-score and Quality Metrics. Here CT images of brain and skull are used for analysis. Two sets of 30 images are taken which contain both normal and abnormal ones.

How long is Feature Extraction and Different Classifiers Applied for Detection of Abnormalities in Computer Tomography (CT) Images?

Feature Extraction and Different Classifiers Applied for Detection of Abnormalities in Computer Tomography (CT) Images by Sunil Kumar Prabhakar is 34 pages long, and a total of 8,636 words.

This makes it 11% the length of the average book. It also has 11% more words than the average book.

How Long Does it Take to Read Feature Extraction and Different Classifiers Applied for Detection of Abnormalities in Computer Tomography (CT) Images Aloud?

The average oral reading speed is 183 words per minute. This means it takes and 47 minutes to read Feature Extraction and Different Classifiers Applied for Detection of Abnormalities in Computer Tomography (CT) Images aloud.

What Reading Level is Feature Extraction and Different Classifiers Applied for Detection of Abnormalities in Computer Tomography (CT) Images?

Feature Extraction and Different Classifiers Applied for Detection of Abnormalities in Computer Tomography (CT) Images is suitable for students ages 8 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Feature Extraction and Different Classifiers Applied for Detection of Abnormalities in Computer Tomography (CT) Images?

Feature Extraction and Different Classifiers Applied for Detection of Abnormalities in Computer Tomography (CT) Images by Sunil Kumar Prabhakar is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy Feature Extraction and Different Classifiers Applied for Detection of Abnormalities in Computer Tomography (CT) Images by Sunil Kumar Prabhakar on Amazon click the button below.