Volume 10 Issue 3 - May 2018

  • 1. brain tumor detection in teleradiology using hard thresholding

    Authors : Suchitra K, Vineel Kumar Reddy I, Venkata Naresh M

    Pages : 61-65

    DOI : http://dx.doi.org/10.21172/1.103.11

    Keywords : Brain Tumor, Magnetic Resonance Imaging (MRI),DICOM Format Images, Edge Detection, Filtering, Thresholding, Segmentation.

    Abstract :

    Tele-radiology is an emerging stream of medical diagnosis. In which the Process of Detecting Brain tumors from patient MRI report is a critical issue, the tumor detection is often a preliminary phase. We are implementing a technique to detect brain tumor and its severity based on the size of the tumor by using hard thresholding. The proposed technique can be efficiently applied to detect and identify the brain tumor from MRI images of patient. We are also evaluating the computational complexity of the proposed algorithm through elapsing time; the data set which we are taking is a DICOM standard. It proves to be a handy mechanism for the physicians to detect, locate and identify the size of tumor.

    Citing this Journal Article :

    Suchitra K, Vineel Kumar Reddy I, Venkata Naresh M, " brain tumor detection in teleradiology using hard thresholding", https://www.ijltet.org/journal_details.php?id=932&j_id=4601, Volume 10 Issue 3 - May 2018, 61-65, #ijltetorg