@article{ETD,
      school = {Ph.D.},
      author = {Machireddy, Archana},
      url = {http://digitalcollections.ohsu.edu/record/9743},
      title = {Machine Learning for medical image analysis -  registration, segmentation, characterization and tracking},
      publisher = {Oregon Health and Science University},
      abstract = {Medical images provide a non-invasive means of assessing  structural and functional changes within the human body.  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. Such information helps in  providing diagnosis of a disease without the need for  expensive invasive procedures, sparing patients risks and  reducing treatment costs. It also helps in early diagnosis  of several diseases, including cancer and Alzheimer's  disease, providing an early opportunity to start  treatment.},
      number = {ETD},
      doi = {https://doi.org/10.6083/v118rf271},
      recid = {9743},
      address = {2022},
}