@article{1442147,
      note = {Includes author index.},
      author = {Su, Ruidan, and Zhang, Yu-Dong, and Liu, Han,},
      url = {http://library.usi.edu/record/1442147},
      title = {Proceedings of 2021 International Conference on Medical  Imaging and Computer-Aided Diagnosis (MICAD 2021) : Medical  Imaging and Computer-Aided Diagnosis /. International  Conference on Medical Imaging and Computer-Aided Diagnosis},
      abstract = {This book covers virtually all aspects of image formation  in medical imaging, including systems based on ionizing  radiation (x-rays, gamma rays) and non-ionizing techniques  (ultrasound, optical, thermal, magnetic resonance, and  magnetic particle imaging) alike. In addition, it discusses  the development and application of computer-aided detection  and diagnosis (CAD) systems in medical imaging. Also there  will be a special track on computer-aided diagnosis on  COVID-19 by CT and X-rays images. Given its coverage, the  book provides both a forum and valuable resource for  researchers involved in image formation, experimental  methods, image performance, segmentation, pattern  recognition, feature extraction, classifier design, machine  learning / deep learning, radiomics, CAD workstation  design, human-computer interaction, databases, and  performance evaluation.},
      doi = {https://doi.org/10.1007/978-981-16-3880-0},
      recid = {1442147},
      pages = {1 online resource (xiii, 439 pages) :},
}