Computer-aided Diagnosis of Pulmonary Infections Using Texture Analysis and Support Vector Machine Classification
نویسندگان
چکیده
منابع مشابه
Using Wavelet Support Vector Machine for Fault Diagnosis of Gearboxes
Identifying fault categories, especially for compound faults, is a challenging task in mechanical fault diagnosis. For this task, this paper proposes a novel intelligent method based on wavelet packet transform (WPT) and multiple classifier fusion. An unexpected damage on the gearbox may break the whole transmission line down. It is therefore crucial for engineers and researchers to monitor the...
متن کاملComputer Aided Diagnosis of Alzheimer Disease Using Support Vector Machines and Classification Trees
This paper presents a computer-aided diagnosis technique for improving the accuracy of early diagnosis of Alzheimer-type dementia. The proposed methodology is based on the selection of voxels which present Welch's t-test between both classes, normal and Alzheimer images, greater than a given threshold. The mean and standard deviation of intensity values are calculated for selected voxels. They ...
متن کاملA Computer Aided Diagnosis System for Lung Cancer Detection \Using Support Vector Machine
Problem statement: Computer Tomography (CT) has been considered as the most sensitive imaging technique for early detection of lung cancer. Approach: On the other hand, there is a requirement for automated methodology to make use of large amount of data obtained CT images. Computer Aided Diagnosis (CAD) can be used efficiently for early detection of Lung Cancer. Results: The usage of existing C...
متن کاملA Computer Aided Diagnosis System for Breast Cancer Using Support Vector Machine
Breast cancer is one of the most prevalent cancers, ranking second only to lung cancer and is the most prevalent form of cancer among worldwide women. Each year, about 1,000,000 women would be newly diagnosed with breast cancer and over 500,000 women died from breast cancer every year. In this paper, a computer-aided diagnosis (CAD) framework for breast cancer is developed using application of ...
متن کاملClassification of transformer faults using frequency response analysis based on cross-correlation technique and support vector machine
One of the most important methods for transformers fault diagnosis (especially mechanical defects) is the frequency response analysis (FRA) method. The most important step in the FRA diagnostic process is to differentiate the faults and classify them in different classes. This paper uses the intelligent support vector machine (SVM) method to classify transformer faults. For this purpose, two gr...
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: Academic Radiology
سال: 2011
ISSN: 1076-6332
DOI: 10.1016/j.acra.2010.11.013