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Max Planck Theory for Digital Image Processing: A New Algorithm for Mammogram Image Segmentation to Identify Masses in Regions of the Breast

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The architecture of the proposed Max Planck algorithm. To read and download the article, kindly click here Max Planck algorithm Article

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AUTHORS’ DECLARATION

Refat Mohamed Abdullah Eshaq declares and claims the following:

  1. We are the first to explore this phenomenon.
  2. We are the first to invent this algorithm (Max Planck algorithm) for image segmentation, which is a completely new design in both the digital image processing and medicine fields.
  3. Although the methodology appears simple, this work took a lot of research into and imagination of physical theories, especially the quantum theory of scientist Max Planck. We are the first to bring physical theory to digital image processing.
  4. If this work is simple, why did computer scientists and medical scientists not discover and apply it before?
  5. No one can use and develop this algorithm or merge it with any other algorithm under any circumstances without explicit permission from the authors of this paper, because we are the first to discover this phenomenon. If you redistribute the adjusted materials, the authors have the right to prosecute individuals, journals, institutions, and even governments.
  6. These results are just part of our future work to merge Max-Planck theory and PID-NN (MinerNet) to create the optimal classification system.

In summary, the major contributions of this work are threefold, as follows:

  1. A novel image segmentation algorithm using the Max Planck’s theory is proposed. To the best of my knowledge, we are the first to use the Max Planck’s theory in image segmentation. Therefore, this is the first exploration of the potential of Max Planck’s theory for image segmentation tasks.

  2. The method was evaluated on mammogram images of breast cancer. The results showed that the proposed algorithm produces successful results in detecting the cancerous regions. Each pixel of the breast tissue can be categorized as intact cells, masses, or irregular tissue. To clarify, the Max Planck algorithm was applied to X-ray imaging in the medical field because the method of imaging belonged to quantum theory.

  3. It is worth noting that the proposed Max Planck algorithm is simple; nevertheless, the question remains why scholars and researchers in computer science have not discovered or applied this solution previously. This article therefore carries an appealing letter to the scientific community to research beyond DLS and CNNs. Physics has its own logic and concepts, and it is completely independent of mathematics, meaning it has unparalleled opportunities.

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Max Planck Theory for Digital Image Processing: A New Algorithm for Mammogram Image Segmentation to Identify Masses in Regions of the Breast

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