2018/04/12 by Bocar Wane, Wane, Bocar
Computer Science · Medicine · #AI in cancer detection #Digital Radiography and Breast Imaging #FOS: Physical sciences #Medical Imaging Techniques and Applications #Medical Physics (physics.med-ph)
paper · pdf · doi:10.48550/arxiv.1804.05739
openalex publication_date 2018/04/12 · openalex created_date 2022/10/07 · openalex updated_date 2026/07/28
In this paper, we would like to quantitatively measure the tumor volume\ncontained in the breast imaged by the Digital Breast Tomosynthesis (DBT), a\nreconstructed 3D image. The estimated volume will add to the prognostic value\nof risk classification of breast cancer. We develop an algorithm that offers an\nalternative way of estimating the volume of the tumor in a breast. We segment\nthe region of interest by expressing the ratio of tumor region to normal region\nas a function of the threshold value in the image. Next, we determine the\nvolume of the tumor region as a function of the threshold. We then find the\noptimal threshold value that yields the volume of the tumor contained in the\nbreast with the rate of growth of the tumor volume function.\n