Neurologic exam: Your doctor checks your vision, hearing, alertness, muscle strength, coordination, and reflexes. Your doctor also examines your eyes to look for swelling caused by a tumor pressing on the nerve that connects the eye and the brain.
MRI: A large machine with a strong magnet linked to a computer is used to make detailed pictures of areas inside your head. Sometimes a special dye (contrast material) is injected into a blood vessel in your arm or hand to help show differences in the tissues of the brain. The pictures can show abnor ....etc

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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 and squamous cell carcin ....etc

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need a matlab code for brain tumour detection and calculation of its area ....etc

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pls i need literature review on brain tumor detection using color based k means clustering segmentation for my project
need literature review on brain tumor detection using color based k means clustering segmentation urgently
literature review on brain tumor detection using color based k means clustering segmentation ....etc

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Grayscale Image Retrieval using DCT on Row mean,
Column mean and Combination



Abstract

Today in the age of information explosion, how to search appropriate data from huge information
pool has become vital issue. Images have giant share in this information pool. Because of easy
availability of imaging devices, millions of images are being added to image pool every day. Image
retrieval deals with searching relevant images from large image database. The paper presents novel
image retrieval techniques bas ....etc

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can you provide clear explanation for the formulas used in adaptive fuzzy k mean clustering algorithm for image segmentation.. n how the calculations are done??? ....etc

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Hi, good day.

I am currently doing a biomedical imaging assignment and the title for the assignment is segmentation and size measurement for the brain tumor in CT image.

I have tried to make the coding but so far my coding still have some bugs. And my due date of submission is on 1st Jan.
Due to short of time, can I request the Matlab codes of brain tumor detection and segmentation using histogram thresholding from you as my references?
Pls send me the coding to [email protected] ....etc

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To get full information or details of Clustering a data set using Fuzzy K mean algorithm please have a look on the pages

http://seminarsprojects.net/Thread-data-clustering-a-seminar-report

if you again feel trouble on Clustering a data set using Fuzzy K mean algorithm please reply in that page and ask specific fields in Clustering a data set using Fuzzy K mean algorithm ....etc

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To get full information or details of brain tumor detection and segmentation matlab code using thresholding and hystogram please have a look on the pages

http://seminarsprojects.net/Thread-a-texture-based-tumor-detection-and-automatic-segmentation-using-seeded-region-growin

http://seminarsprojects.net/Thread-brain-tumor-detection-using-color-based-k-means-clustering-segmentation-full-report-u?pid=148031

http://seminarsprojects.net/Thread-brain-tumor-detection-based-on-multiparameter-mri-image-analysis

http://seminarsprojects.net/Thread-ne ....etc

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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 image and then separate th ....etc

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