«biomedical image processing»
۳۰۶۳ نتیجهHigh Performance Kernel Smoothing Library For Biomedical Imaging
of the Thesis High Performance Kernel Smoothing Library For Biomedical Imaging by Haofu Liao Master of Science in Electrical and Computer Engineering Northeastern University, May 2015 Dr. Deniz Erdogmus, Adviser The estimation of probability density and probability density deriva
Advanced Computer Vision Approaches in Biomedical Image Analysis
Copyright © 2014 Anke Meyer-Baese et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Medical imaging is today
Biomedical Image Segmentation Based on Multiple Image Features
Image segmentation is a procedure that partitions an image into disjointing segments with each segment sharing similar properties such as intensity, color, boundary and texture. In general, three main types of image features are used to guide image segmentation, which are intensi
Rotation Covariant Image Processing for Biomedical Applications
With the advent of novel biomedical 3D image acquisition techniques, the efficient and reliable analysis of volumetric images has become more and more important. The amount of data is enormous and demands an automated processing. The applications are manifold, ranging from image
A new morphological segmentation algorithm for biomedical imaging applications
Images of high geometrical complexity are found in various applications in the fields of image processing and computer vision. Medical imaging is such an application, where the processing of digitized images reveals vital information for the therapeutic or diagnostic algorithms.
Some Analog Linear Filtering Tasks Useful in Medical Image Processing
In this paper some analog linear filtering tasks and their possible applications in medical image processing are approached. Although the presented processing tasks can be also implemented digitally, we treated their realization using cellular neural networks (CNNs). We discuss h
Radha Guha: Current Trends in Biomedical Imaging Field and the Role
Tremendous advancement of technology in computer science and engineering discipline is recently aiming at improved patient care in a cost effective way by using more sophisticated techniques and patient health monitoring devices. Advancements in computer vision, virtual reality a
A midas plugin to enable construction of reproducible web-based image processing pipelines
Image processing is an important quantitative technique for neuroscience researchers, but difficult for those who lack experience in the field. In this paper we present a web-based platform that allows an expert to create a brain image processing pipeline, enabling execution of t
Mathematical Methods for Terahertz Interrogation in Biomedical Imaging and Homeland Security Applications
1 Project Description The past decade has seen a plethora of activity in the field of Terahertz imaging. The timing is mainly due to the recent development of highly efficient Terahertz generation and detection devices [17] which allow more researchers to have access to experimen
Performance Analysis of Image Processing Algorithms using Matlab for Biomedical Applications
Image processing is used in every sphere of life such as agriculture, remote sensing, wireless, medical etc. Biomedical imaging plays a vital role in the detection of diseases. Without image processing, it is not possible to detect diseases such as cancer, tumors etc. Medical equ