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Objective

In the recent years liver segmentation from computed tomography scans has gained a lot of importance in the field of medical image processing since it is the first and fundamental step of any automated technique for the automatic liver disease diagnosis, liver volume measurement, and 3D liver volume rendering.

Methods

In this paper we report a review study about the semi-automatic and automatic ....etc

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Blood tests look at liver function and levels of tumor markers (certain substances which are linked to specific types of cancer). Liver tumors will often show on an ultrasound scan but full assessment requires a CT (computerized tomography) scan or MRI (magnetic resonance imaging) scan.
n general, the imaging appearances of liver metastases are nonspecific, and biopsy specimens are required for histologic diagnosis. CT is the imaging modality of choice for evaluating liver metastases. This preference is largely attributable to the effects of t ....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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To get full information or details of Tumor segmentation using bacterial foraging optimization matlab code please have a look on the pages

http://seminarsprojects.net/Thread-a-texture-based-tumor-detection-and-automatic-segmentation-using-seeded-region-growin?pid=146958

if you again feel trouble on Tumor segmentation using bacterial foraging optimization matlab code please reply in that page and ask specific fields in Tumor segmentation using bacterial foraging optimization matlab code ....etc

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This study describes a new liver segmentation method for purpose of transplantation surgery as a treatment for liver tumors. Liver segmentation is not only the key process for volume computation but also fundamental for further processing to get more anatomy information for individual patient. Due to the low contrast, blurred edges, large variability in shape and complex context with clutter features surrounding the liver that characterize the liver CT images, it is a convoluted problem and still a challenge task to robustly and accurately segm ....etc

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To get full information or details of matlab code for liver tumor segmentation please have a look on the pages

http://iosrjournalsiosr-jece/papers/Vol9-Issue2/Version-8/T0928110115.pdf

if you again feel trouble on matlab code for liver tumor segmentation please reply in that page and ask specific fields in matlab code for liver tumor segmentation ....etc

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Brain Tumors
A brain tumor is a group of abnormal cells that grows in or around the brain. Brain tumors are malignant (also called brain cancer) or benign (do not contain cancer cells). They may be primary (beginning within the brain) or metastatic (cancer cells elsewhere in the body travel to the brain).

Your doctor may order head or spine MRI, brain fMRI, head CT, head PET, cerebral angiography, myelography, biopsy or lumbar puncture to help diagnose and evaluate your condition. Other imaging tests may be performed if your doctor suspects ....etc

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liver segmentation matlab source code

Abstract

Computed tomography (CT) images have been widely used for diagnosis of liver disease and volume measurement for liver surgery or transplantation. Automatic liver segmentation and volume measurement based on the segmentation are the most essential parts in computer-aided diagnosis for liver CT as well as computer-aided surgery. However, liver segmentation, in general, has been performed by outlining the medical image manually or segmenting CT images semi-automatically because surface features of t ....etc

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To get full information or details of thresholding for liver segmentation in matlab please have a look on the pages

http://dsp.stackexchangequestions/1659/adaptive-thresholding-for-liver-segmentation-using-matlab

http://cscjournalsmanuscript/Journals/IJIP/volume5/Issue2/IJIP-367.pdf

http://arxivftp/arxiv/papers/1204/1204.1634.pdf

https://fedcsisproceedings/2013/pliks/143.pdf

if you again feel trouble on thresholding for liver segmentation in matlab please reply in that page and ask specific fields in thresholding for liver segmentation i ....etc

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code for liver segmentation in matlab

%testadaptivethresh.m
clear;close all;
im1=imread('nfliver2.jpg');
bwim1=adaptivethreshold(im1,11,0.03,0);
figure,imshow(im1);
figure,imshow(bwim1);
imwrite(bwim1,'at2.jpg');
function bw=adaptivethreshold(IM,ws,C,tm)
%ADAPTIVETHRESHOLD An adaptive thresholding algorithm that seperates the
%foreground from the background with nonuniform illumination.
% bw=adaptivethreshold(IM,ws,C) outputs a binary image bw with the local
% threshold mean-C or median-C to the image IM.
% ws is the local window size.
% ....etc

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