Medical Image Processing Using Machine Learning

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@article{1704896,
      author = {Abhilash H. P., Sheela Maharajpet, Nagaraj C.},
      title = {Medical Image Processing Using Machine Learning},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {7},
      number = {1},
      pages = {364-369},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1704896.pdf},
      abstract = {In today's environment, computer programmes produce most of the data. With the help of these applications, future analysis and prediction are both conceivable. To achieve this Machine learning is the process through which we educate computers to understand data and make future predictions in line with it. system learning is achieved by instructing the system how to react to diverse data inputs. The brief introduction to machine learning, a few machine learning techniques and algorithms, hazards related to it, and applications are the main topics of the paper. The basic concepts and methods used in machine learning and its applications are briefly summarised in this article. Before discussing various learning modalities like supervised and unsupervised procedures and deep learning models, we begin by generically defining machine learning. The other sections of the paper go on the applications of machine learning algorithms in many fields, including pattern recognition, sensor networks, anomaly detection, the Internet of Things (IoT), and health monitoring. The latter sections include a thorough bibliography and the software tools.},
      keywords = {Medical Image compression, Deep Learning, CNN, MRI},
      month = {July},
  }