rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Artificial intelligence applications for health care
  name:
    name part: Ahirwal, Mitul Kumar
    role:
      role term: editor.
  name:
    name part: Londhe, Narendra D.
    role:
      role term: editor.
  name:
    name part: Kumar, Anil
    name part: 1980-
    role:
      role term: editor.
  name:
    name part: EBSCOhost
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2022
    copyright date: 2022
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource ( xx, 312 pages) :
  table of contents: 1. A Survey of Machine Learning in Healthcare. 2. A Review on Biomedical Signals with Fundamentals of Digital Signal Processing. 3. Images in Radiology : Concepts of Image Acquisition and the Nature of Images. 4. Fundamentals of Artificial Intelligence and Computational Intelligence Techniques with their Applications in Healthcare Systems. 5. Machine Learning Approach with Data Normalization Technique for Early Stage Detection of Hypothyroidism. 6. GPU-based Medical Image Segmentation: Brain MRI Analysis Using 3D Slicer. 7. Preliminary Study of Retinal Lesions Classification on Retinal Fundus Images for The Diagnosis of Retinal Diseases. 8. Automatic Screening of COVID-19 based on CT Scan Images through Extreme Gradient Boosting. 9. Investigations on Convolutional Neural Network in Classification of the Chest X-Ray Images for COVID-19 and Pneumonia. 10. Improving the Detection of Abdominal and Mediastinal Lymph Nodes in CT Images Using Attention U-Net Based Deep Learning Model. 11. Swarm Optimized Hybrid Layer Decomposition and Reconstruction Model for Multi-Modal Neurological Image Fusion. 12. Hybrid Seeker Optimization Algorithm-Based Accurate Image Clustering for Automatic Psoriasis Lesion Detection. 13. A COVID-19 Tracker for Medical Front-Liners. 14. Implementation of One Dimensional Convolutional Neural Network for ECG Classification on Python. 15. Pneumonia Detectionfrom X-ray Images by Two Dimensional Convolutional Neural Network on Python Platform.
  note: edited by Mitul Kumar Ahirwal, Narendra D. Londhe, Anil Kumar.
  note: Mitul K. Ahirwal is currently working as an Assistant Professor in the Department of Computer Science and Engineering at, Maulana Azad National Institute of Technology Bhopal, India. His research area is biomedical signal processing, swarm optimization, Brain Computer Interface and Healthcare system. He has been involved as a reviewer with various reputed journals. Narendra D. Londhe is currently working with National Institute of Technology Raipur as an Associate Professor in Department of Electrical Engineering. His area of research includes Image and signal processing, soft computing, Biometrics, Ultrasound Imaging, IVUS imaging, Brain computer interface, Pain assessment and Psoriasis severity detection. Anil Kumar joined as an Assistant Professor in the Electronic & Communication Engineering Department, Indian Institute of Information Technology Design and Manufacturing, Jabalpur, India since 2009 to July 2016. His academic and research interest is design of Digital Filters & Multirate Filter Bank, Multirate Signal Processing, Biomedical Signal Processing, Image Processing, and Speech Processing.
  subject:
    topic: Artificial intelligence
    topic: Medical applications
  subject:
    topic: Medical informatics
  subject:
    topic: Intelligence artificielle en médecine
  subject:
    topic: Médecine
    topic: Informatique
  subject:
    topic: BUSINESS & ECONOMICS
    topic: Industries
    topic: Service Industries
  subject:
    topic: COMPUTERS
    topic: Machine Theory
  subject:
    topic: MEDICAL
    topic: Administration
  subject:
    topic: Artificial intelligence
    topic: Medical applications
  subject:
    topic: Medical informatics
  classification: R859.7.A78 A74 2022
  classification: 610.285
  identifier: 9781003241409
  identifier: 1003241409
  identifier: 9781000570342
  identifier: 1000570347
  identifier: 9781000570304
  identifier: 1000570304
  identifier: 9781032148472
  identifier: 9781032148465
  identifier: 9781003241409 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: TYFRS
    record creation date: 220302
    record change date: 20220601150247.9
    record identifier: in00004595211
    language of cataloging:
      language term: eng