Brain Tumor Detection using Convolutional Neural Network (CNN)

ABSTRACT            Brain tumor identification is really challenging task in early stages of life. But now it became advanced with various machine learning algorithms. Now a day’s issue of brain tumor automatic identification is of great interest....

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Matlab Code for Prostate Cancer Detection using Image Processing

ABSTRACT           This project gives an overview of the method of detecting prostate cancer by associating Region of interest segmentation method with Support Vector Machine. Prostate cancer is commonly prevalent carcinoma detected in most of the...

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Grape Leaf Disease Detection using Image Processing Matlab Source code

ABSTRACT              Identification of the grape leaf disease is the main goal to prevent the losses and quality of agricultural product. In India grape fruit crop is widely grown. So disease detection and classification of grape leaf...

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Early Stage Brain Tumor Detection using Image Processing Matlab Project Code

ABSTRACT             A tumor is a mass of tissues that is formed by an accumulation of abnormal cells. Normally, the cells in our body grow, age, die, and are replaced by new cells but the cancer and other tumors damage this cycle. The tumor...

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Haze Removal using Matlab Project with Source Code

ABSTRACT            Haze causes problems in various computer vision and image processing based applications as it diminishes the scene's visibility. The air light and attenuation are two main phenomena responsible for haze formation .The air...

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Matlab code for Image Fusion using Wavelet Transform

ABSTRACT             Different medical imaging techniques such as X-rays, computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET) provide different perspectives for the human body that are important...

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Bone Fracture Detection using Neural Network Matlab Project with source Code

ABSTRACT             Analysis of medical images plays a very important role in clinical decision making. For a long time it has required extensive involvement of a human expert. However, recent progress in data mining techniques, especially...

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