On the other hand, the more mammograms a woman has, the more likely it is she will see a false positive result.
After 10 years of annual mammograms, roughly two out of three patients who do not have cancer will be told that they do and be subjected to an invasive intervention, most likely a biopsy.
Breast ultrasound elastography is an emerging imaging technique that provides information about a potential breast lesion by evaluating its stiffness in a non-invasive way.
Assad Oberai, USC Viterbi School of Engineering Hughes Professor in the Department of Aerospace and Mechanical Engineering, asked this exact question in the research paper, "Circumventing the solution of inverse problems in mechanics through deep learning: application to elasticity imaging," published in Computer Methods in Applied Mechanics and Engineering.
Along with a team of researchers, including USC Viterbi Ph.D student Dhruv Patel, Oberai specifically considered the following: Can you train a machine to interpret real-world images using synthetic data and streamline the steps to diagnosis?
In the research, Oberai sought to determine if they could skip the most complicated steps of this workflow entirely.