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MATLAB project (Melanoma detection using SVM)

I need a program which detects melanoma from dermascopic images using Support Vector Machine. The code should have

- Pre-processing and segmentation

- Hair removal from the input images

- Feature selection using DWT and feature extraction using GLCM

- Extracted features should include colour (HSV, luminance, chrominance) and texture (entropy, homogeneity, contrast, saturation etc)

- classifier using SVM algorithm

- Dataset more than 200 images

- The output should display whether the input image is melanoma or not.

- GUI is not necessary but I need the values of the extracted features as well as precision and accuracy to be included in the output

- neat and easy to understand documentation of the whole process. It doesn't have to be too detailed. I just need to know what the code does and why.

This project is based on the paper "A colour-based approach for melanoma skin cancer detection" This paper is attached below

Kemahiran: Image Processing, MATLAB, Machine Learning (ML)

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Tentang Majikan:
( 0 ulasan ) Coimbatore, India

ID Projek: #29446554

1 pekerja bebas membida secara purata ₹15000 untuk pekerjaan ini

aliaurangzaib

I understand it is a big project and requires time and hard work. I know I have asked for a price which is not in your budget, I have experience with ML and I can do this project. Let me know if you can afford this.

₹15000 INR dalam 7 hari
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