project.cpp

#include <iostream>
#include <Eigen/Dense>
#include <CL/sycl.hpp>
#include <opencv2/opencv.hpp>

namespace sycl = cl::sycl;

// Function to detect brain tumors from MRI images
void detectBrainTumors(const Eigen::MatrixXf& mriImage, Eigen::MatrixXf& tumorConfirmed) {
    // Perform your brain tumor detection algorithm here
    // This is just a placeholder code for demonstration purposes
    const int numRows = mriImage.rows();
    const int numCols = mriImage.cols();

    // Allocate memory for the tumor confirmed matrix
    tumorConfirmed.resize(numRows, numCols);
    
    // Perform some simple thresholding for demonstration
    for (int i = 0; i < numRows; i++) {
        for (int j = 0; j < numCols; j++) {
            if (mriImage(i, j) > 0.5) {
                tumorConfirmed(i, j) = 1.0;
            } else {
                tumorConfirmed(i, j) = 0.0;
            }
        }
    }
}

int main() {
    // Load MRI image from file
    cv::Mat mriImageMat = cv::imread("image.jpg", cv::IMREAD_GRAYSCALE);
    
    // Convert OpenCV matrix to Eigen matrix
    Eigen::MatrixXf mriImage = Eigen::MatrixXf::Map(mriImageMat.ptr<float>(), mriImageMat.rows, mriImageMat.cols);
    
    // Output tumor confirmed matrix
    Eigen::MatrixXf tumorConfirmed;
    
    // Create a SYCL queue for device selection
    sycl::queue myQueue(sycl::default_selector{});
    
    // Create SYCL buffers for data transfer between host and device
    sycl::buffer<float, 2> mriImageBuffer(mriImage.data(), sycl::range<2>(mriImage.rows(), mriImage.cols()));
    sycl::buffer<float, 2> tumorConfirmedBuffer(tumorConfirmed.data(), sycl::range<2>(mriImage.rows(), mriImage.cols()));
    
    // Submit a SYCL kernel for execution on the device
    myQueue.submit([&](sycl::handler& cgh) {
        // Access the buffers
        auto mriImageAccessor = mriImageBuffer.get_access<sycl::access::mode::read>(cgh);
        auto tumorConfirmedAccessor = tumorConfirmedBuffer.get_access<sycl::access::mode::write>(cgh);
        
        // Execute the tumor detection algorithm
        cgh.parallel_for(sycl::range<2>(mriImage.rows(), mriImage.cols()), [=](sycl::id<2> idx) {
            const int i = idx[0];
            const int j = idx[1];
            
            // Perform your algorithm on the device
            tumorConfirmedAccessor[i][j] = mriImageAccessor[i][j] > 0.5 ? 1.0 : 0.0;
        });
    });
    
    // Wait for the kernel to finish execution
    myQueue.wait();
    
    // Copy the results back to the host
    sycl::host_accessor tumorConfirmedAccessor(tumorConfirmedBuffer);
    tumorConfirmed = Eigen::Map<Eigen::MatrixXf>(tumorConfirmedAccessor.get_pointer(), mriImage.rows(), mriImage.cols());
    
    // Print the tumor confirmed matrix for verification
    std::cout << "Tumor Confirmed:\n" << tumorConfirmed << std::endl;
    
    return 0;
}