Information Fusion for Colorectal Polyps Medical Image Segmentation

Probabilistic Information Fusion for Multi-Modal Image Segmentation

Observable evidence from disparate sources are combined coherently and consistently through a hierarchically structured knowledge tree. Prior knowledge of spatial interactions is modeled with Markov Random Fields. A posteriori probabilities of segmentations are maintained incrementally. This paper is a shortened version of [Chou and Brown 87], which contains many more references.* 1. A Probabil...

Minimizing Loss of Information at Competitive PLIP Algorithms for Image Segmentation with Noisy Back Ground

In this paper, two training systems for selecting PLIP parameters have been demonstrated. The first compares the MSE of a high precision result to that of a lower precision approximation in order to minimize loss of information. The second uses EMEE scores to maximize visual appeal and further reduce information loss. It was shown that, in the general case of basic addition, subtraction, or mul...

Image Fusion For Medical Image Retrieval

A Fully Automatic Scheme for Medical Image Segmentation with Wavelet Based Image Fusion

Medical image segmentation has become an essential technique in clinical and researchoriented applications. Because manual segmentation methods are tedious, and semi automatic segmentation lacks the flexibility, fully-automatic methods have become the preferred type of medical image segmentation. This work proposes a robust fully automatic segmentation scheme based on the modified contouring te...

A hidden Markov Model for image fusion and their joint segmentation in medical image computing

In this work we propose a Bayesian framework for fully automated image fusion and their joint segmentation. More specifically, we consider the case where we have observed images of the same object through different image processes or through different spectral bands. The objective of this work is then to propose a coherent approach to combine these data sets and obtain a segmented image which c...