Training AI-Based Feature Extraction Algorithms, for Micro CT Images, Using Synthesized Data

Feature Extraction Based Lung Nodule Detection in CT Images

Lung cancer diagnosis using pattern classification is the active research topics in medical image processing. Feature extraction is considered as an essential step in medical image analysis and classification. Computer aided segmentation for computed tomography (CT) and magnetic resonance imaging (MRI) are finding the application in computer aided diagnosis, clinical studies, and treatment plan...

Feature Extraction Using Genetic Algorithms

This paper summarizes our research on feature selection and extraction from high-dimensionality data sets using genetic algorithms. We have developed a GA-based approach utilizing a feedback linkage between feature evaluation and classification. That is, we carry out feature selection or feature extraction simultaneously with classifier design, through “genetic learning and evolution.” This app...

Image Analysis Algorithms for Feature Extraction in Eye Fundus Images

Retinal images are widely used for diagnostic purposes by ophthalmologists. Therefore, these images are suitable for digital image analysis for their visual enhancement and pathological risk or damage detection. Here, we implement a luminosity and contrast enhancement technique based on domain knowledge. We also review and analyze a previous approach in optic nerve head segmentation to extend i...

Classification of Hyperspectral Data using Best-bases Feature Extraction Algorithms

Data Extraction using Content-Based Handles

In this paper, we present an approach and a visual tool, called HWrap (Handle Based Wrapper), for creating web wrappers to extract data records from web pages. In our approach, we mainly rely on the visible page content to identify data regions on a web page. In our extraction algorithm, we inspired by the way a human user scans the page content for specific data. In particular, we use text fea...