Machine Learning for medical image analysis – registration, segmentation, characterization and tracking Public Deposited

Medical images provide a non-invasive means of assessing structural and functional changes within the human body [47]. They are a rich source of information on the internal body structures and play a vital role in helping doctors diagnose, monitor and treat various medical conditions. Each imaging technique is unique in terms of the image it captures and the information it provides regarding the area of the body under study [159]. Such information helps in providing diagnosis of a disease without the need for expensive invasive procedures, sparing patients risks and reducing treatment costs [159]. It also helps in early diagnosis of several diseases, including cancer and Alzheimer’s disease, providing an early opportunity to start treatment [18, 121, 163].

  • Archana.Machireddy.2022.pdf
Publication Date
  • 2022
Document type