Medical Image Analysis: Human and Machine

Machine Learning Applications in Medical Image Analysis

A human-machine interface for medical image analysis and visualization in virtual environments

Evaluation of three-dimensional anatomical data, as they are obtained by techniques like Magnetic Resonance Imaging (MRI) or Computed Tomography (CT), is an elaborate and time-consuming process. Though there is remarkable success in accelerating this task by automation [1], it still demands human interaction [2]. Specialists can be supported in this work through modern means of man-machine comm...

Medical Image Classification by Supervised Machine Learning

In this paper, Support Vector Machine (SVM) was used to learn image feature characteristics for image classification. Several image visual features describe the shape, edge, and texture of image (including histogram, spatial layout, coherence moment and gabor features) have been employed in this paper to categorize the 500 test images into 46 classes. The result shows that the spatial relations...

Medical Image Analysis and Simulation

a Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from Springer. This article introduces the research eld of digital image analysis and ...

Medical Image Processing and Analysis