#include <iostream>
#include <fstream>
#ifdef _OPENMP
#include <omp.h>
#else
#include <chrono>
#endif
using namespace std;
// Dummy processing functions
void enhanceMRI() { cout << "Enhancing contrast of MRI images..." << endl; }
void denoiseCT() { cout << "Removing noise from CT scans..." << endl; }
void detectEdgesXray() { cout << "Detecting edges in X-ray images..." << endl; }
int main() {
double start_time = 0.0, end_time = 0.0;
// start timer (use omp timer if available)
#ifdef _OPENMP
start_time = omp_get_wtime();
#else
auto start_ch = std::chrono::high_resolution_clock::now();
#endif
#pragma omp parallel
{
#pragma omp single
{
cout << "Starting Medical Image Pipeline..." << endl;
cout << "Loading machine-learning model parameters..." << endl;
cout << "Allocating shared memory for processed image buffers..." << endl;
}
#pragma omp sections
{
#pragma omp section
{ enhanceMRI(); }
#pragma omp section
{ denoiseCT(); }
#pragma omp section
{ detectEdgesXray(); }
}
#pragma omp master
{
#ifdef _OPENMP
end_time = omp_get_wtime();
#else
auto end_ch = std::chrono::high_resolution_clock::now();
std::chrono::duration<double> diff = end_ch - start_ch;
end_time = diff.count();
#endif
cout << "Saving all processed images..." << endl;
cout << "Total execution time: " << (end_time - start_time) << " seconds" << endl;
ofstream logFile("processing_log.txt");
logFile << "Medical Imaging Pipeline Completed Successfully\n";
logFile.close();
cout << "Processing summary saved to file." << endl;
}
} // end parallel
return 0;
}