Neutrosophic DICOM Image Processing and its applications

Abstract

Medical images are essential in contemporary medicine because they provide practicable
entropy, which is used to diagnose medical conditions. It is useful to visualize abnormality in
several parts of the body. Image segmentation in the medical has an important function in
various applications in diagnosis systems. Researchers have become interested in
segmentation algorithms as a result of Computed Tomography (CT) and Magnetic Resonance
Imaging (MRI). The Region of Interest (ROI) extracts used in medical applications depend
heavily on processes including cancer identification, bulk detection, and organ segmentation.
Due to its capacity to deal with uncertainty and imprecision, Neutrosophic image processing
(NIP) is a significant domain for uncertainty in medical image processing. Its methods in
medicine demonstrate their transcendence. In the suggested work, the primary medical
domains that NIP can create for image segmentation from DICOM pictures are highlighted.
Due to the way it handles uncertain information, it has been found to be a better method.