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Title: Medical image segmentation using clustering algorithm
Page Link: Medical image segmentation using clustering algorithm -
Posted By: computer science technology
Created at: Saturday 30th of January 2010 10:12:36 AM
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segmentation algorithm for medical image segmentation. The use of the conventional watershed algorithm for medical image analysis is widespread because of its advantages, such as always being able to produce a complete division of the image. However, its drawbacks include over-segmentation and sensitivity to false edges. We address the drawbacks of the conventional watershed algorithm when it is applied to medical images by using k-means clustering to produce a primary segmentation of the image before we apply our improved watershed segmentatio ....etc

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Title: literature review on brain tumor detection using color based k means clustering segmentation
Page Link: literature review on brain tumor detection using color based k means clustering segmentation -
Posted By:
Created at: Wednesday 16th of January 2013 10:33:31 PM
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pls i need literature review on brain tumor detection using color based k means clustering segmentation for my project
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Title: Automatic Segmentation of Skin Cancer Images using Adaptive Color Clustering
Page Link: Automatic Segmentation of Skin Cancer Images using Adaptive Color Clustering -
Posted By: seminar paper
Created at: Tuesday 21st of February 2012 01:33:02 PM
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Automatic Segmentation of Skin Cancer Images using Adaptive Color Clustering



Introduction
Skin cancer is one of the most common types of cancer and it can affect people at any age. It is a malignant tumor that develops changes in the skin texture and color, but it can be cured in more than 90% of cases, if the skin tumor is detected and treated in the early stages. There are two types of skin cancer, namely malignant melanoma and non-melanoma (basal cell an ....etc

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Title: Brain Tumor detection using Color-Based K-means Clustering Segmentationfull report u
Page Link: Brain Tumor detection using Color-Based K-means Clustering Segmentationfull report u -
Posted By: projectsofme
Created at: Friday 01st of October 2010 01:33:15 PM
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Brain Tumor detection using Color-Based K-means Clustering Segmentation

INTRODUCTION

This paper proposes a color-based segmentation method that uses the K-means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color-based segmentation algorithm with K-means is to convert a given gray-level MR image into a color space imag ....etc

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Title: image segmentation using k means clustering algorithm documentation doc
Page Link: image segmentation using k means clustering algorithm documentation doc -
Posted By:
Created at: Wednesday 07th of November 2012 11:45:44 PM
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Title: Customer segmentation in e-commerce using a soft clustering approach
Page Link: Customer segmentation in e-commerce using a soft clustering approach -
Posted By: seminar class
Created at: Friday 22nd of April 2011 06:55:20 PM
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Presented By:
Prasunjit Nayak
Sunil Kumar Swain
Debidatta Satapathy
Balaram Sabat
Avinash Kotni


Introduction
E- Commerce
Customer Segmentation
Data mining
Clustering
Soft clustering
Methodology Implemented
Dimension reduction
Using PCA
Clustering
Using C-means
Soft clustering
Fuzzy C-means
Current Status
Conclusion

....etc

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Title: literature review on brain tumor detection using color based k means clustering segmentation
Page Link: literature review on brain tumor detection using color based k means clustering segmentation -
Posted By:
Created at: Wednesday 16th of January 2013 10:10:44 PM
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Title: Fractal-Based Intrinsic Dimension Estimation and Its Application in Dimensionality Re
Page Link: Fractal-Based Intrinsic Dimension Estimation and Its Application in Dimensionality Re -
Posted By: Projects9
Created at: Monday 23rd of January 2012 06:07:42 PM
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Abstract—Dimensionality reduction is an important step in knowledge discovery in databases. Intrinsic dimension indicates the number of variables necessary to describe a data set. Two methods, box-counting dimension and correlation dimension, are commonly used for intrinsic dimension estimation. However, the robustness of these two methods has not been rigorously studied. This paper demonstrates that correlation dimension is more robust with respect to data sample size. In addition, instead of using a user selected distance , we propose a n ....etc

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Title: image segmentation using k means clustering algorithm documentation
Page Link: image segmentation using k means clustering algorithm documentation -
Posted By:
Created at: Thursday 17th of January 2013 01:31:05 PM
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can you provide clear explanation for k mean clustering algorithm for image segmentation and fuzzy c mean clustering algorithm for image segmentation with an example and how the calculations are done? ....etc

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Title: image segmentation using k means clustering algorithm documentation
Page Link: image segmentation using k means clustering algorithm documentation -
Posted By:
Created at: Thursday 17th of January 2013 01:22:56 PM
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can you provide any explanation for formulas used in k-mean clustering algorithm for image segmentation and fuzzy c mean clustering algorithm for image segmentation with an example and how the calculations are done? ....etc

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