Research output

Artificial intelligence in cancer imaging: Clinical challenges and applications

Research output: Contribution to journalReview articleAcademicpeer-review

Associated researcher

  • Bi, W. L.
  • Hosny, A.
  • Schabath, M. B.
  • Giger, M. L.
  • Birkbak, N. J.
  • Mehrtash, A.
  • Allison, T.
  • Arnaout, O.
  • Abbosh, C.
  • Dunn, I. F.
  • Mak, R. H.
  • Tamimi, R. M.
  • Tempany, C. M.
  • Swanton, C.
  • Hoffmann, U.
  • Schwartz, L. H.
  • Gillies, R. J.
  • Huang, R. Y.
  • Aerts, H.J.W.L.

Associated organisations

    Research areas

  • artificial intelligence, cancer imaging, clinical challenges, deep learning, radiomics, COMPUTER-AIDED DETECTION, DIGITAL BREAST TOMOSYNTHESIS, BACKGROUND PARENCHYMAL ENHANCEMENT, CONVOLUTIONAL NEURAL-NETWORK, MULTI-PARAMETRIC MRI, DETECTION CAD SYSTEM, HIGH-GRADE GLIOMAS, PROSTATE-CANCER, LUNG-CANCER, PULMONARY NODULES
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Details

Original languageEnglish
Pages (from-to)127-157
Number of pages31
JournalCa-A Cancer Journal for Clinicians
Volume69
Issue number2
DOIs
Publication statusPublished - 2019