@article{938343,
      note = {International conference proceedings.},
      author = {Su, Ruidan. and Liu, Han.},
      url = {http://library.usi.edu/record/938343},
      title = {Medical imaging and computer-aided diagnosis : proceeding  of 2020 International Conference on Medical Imaging and  Computer-Aided Diagnosis (MICAD 2020) /. International  Conference on Medical Imaging and Computer-Aided Diagnosis},
      publisher = {Springer,},
      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. 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/10.1007/978-981-15-5},
      recid = {938343},
      pages = {1 online resource (254 pages).},
      address = {Singapore :},
      year = {2020},
}