Abstract
New strategies, such as magnetic guidance of medicines, are used in cancer treatment. This work determined the topological characteristics of blood vessels in the breast with cancer. To remove the topology of the blood vessels mammogram imaging of cancer patients, image preprocessing was performed using conventional methods (Canny, Prewitt, and Sobel), with neural networks, and with light correction techniques, a 3D model was generated with finite element software to simulate velocity and blood flow, 700 nanoparticles of Magnetite were included, with a magnet of Neodymiun and the number of nanoparticles reaching the tumor was evaluated. The best results were obtained with the light correction method that improved the definition of blood vessels with the topology obtained and more particles were found to reach the magnetic field tumor compared when it is absent.
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