Artificial intelligence in cancer imaging: Clinical challenges and applications

Wenya Linda Bi, Ahmed Hosny, Matthew B. Schabath, Maryellen L. Giger, Nicolai J. Birkbak, Alireza Mehrtash, Tavis Allison, Omar Arnaout, Christopher Abbosh, Ian F. Dunn, Raymond H. Mak, Rulla M. Tamimi, Clare M. Tempany, Charles Swanton, Udo Hoffmann, Lawrence H. Schwartz, Robert J. Gillies, Raymond Y. Huang, Hugo J. W. L. Aerts*

*Corresponding author for this work

Research output: Contribution to journal › Review article › Academic › peer-review

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

Keywords

  • 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

Cite this

Bi, Wenya Linda ; Hosny, Ahmed ; Schabath, Matthew B. ; Giger, Maryellen L. ; Birkbak, Nicolai J. ; Mehrtash, Alireza ; Allison, Tavis ; Arnaout, Omar ; Abbosh, Christopher ; Dunn, Ian F. ; Mak, Raymond H. ; Tamimi, Rulla M. ; Tempany, Clare M. ; Swanton, Charles ; Hoffmann, Udo ; Schwartz, Lawrence H. ; Gillies, Robert J. ; Huang, Raymond Y. ; Aerts, Hugo J. W. L. / Artificial intelligence in cancer imaging : Clinical challenges and applications. In: Ca-A Cancer Journal for Clinicians. 2019 ; Vol. 69, No. 2. pp. 127-157.
@article{69aa3022f7df4a1cb8d8bf1b8b556f76,
title = "Artificial intelligence in cancer imaging: Clinical challenges and applications",
keywords = "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",
author = "Bi, {Wenya Linda} and Ahmed Hosny and Schabath, {Matthew B.} and Giger, {Maryellen L.} and Birkbak, {Nicolai J.} and Alireza Mehrtash and Tavis Allison and Omar Arnaout and Christopher Abbosh and Dunn, {Ian F.} and Mak, {Raymond H.} and Tamimi, {Rulla M.} and Tempany, {Clare M.} and Charles Swanton and Udo Hoffmann and Schwartz, {Lawrence H.} and Gillies, {Robert J.} and Huang, {Raymond Y.} and Aerts, {Hugo J. W. L.}",
year = "2019",
doi = "10.3322/caac.21552",
language = "English",
volume = "69",
pages = "127--157",
journal = "Ca-A Cancer Journal for Clinicians",
issn = "0007-9235",
publisher = "Wiley",
number = "2",

}

Bi, WL, Hosny, A, Schabath, MB, Giger, ML, Birkbak, NJ, Mehrtash, A, Allison, T, Arnaout, O, Abbosh, C, Dunn, IF, Mak, RH, Tamimi, RM, Tempany, CM, Swanton, C, Hoffmann, U, Schwartz, LH, Gillies, RJ, Huang, RY & Aerts, HJWL 2019, 'Artificial intelligence in cancer imaging: Clinical challenges and applications', Ca-A Cancer Journal for Clinicians, vol. 69, no. 2, pp. 127-157. https://doi.org/10.3322/caac.21552

Artificial intelligence in cancer imaging : Clinical challenges and applications. / Bi, Wenya Linda; Hosny, Ahmed; Schabath, Matthew B.; Giger, Maryellen L.; Birkbak, Nicolai J.; Mehrtash, Alireza; Allison, Tavis; Arnaout, Omar; Abbosh, Christopher; Dunn, Ian F.; Mak, Raymond H.; Tamimi, Rulla M.; Tempany, Clare M.; Swanton, Charles; Hoffmann, Udo; Schwartz, Lawrence H.; Gillies, Robert J.; Huang, Raymond Y.; Aerts, Hugo J. W. L.

In: Ca-A Cancer Journal for Clinicians, Vol. 69, No. 2, 2019, p. 127-157.

Research output: Contribution to journal › Review article › Academic › peer-review

TY - JOUR

T1 - Artificial intelligence in cancer imaging

T2 - Clinical challenges and applications

AU - Bi, Wenya Linda

AU - Hosny, Ahmed

AU - Schabath, Matthew B.

AU - Giger, Maryellen L.

AU - Birkbak, Nicolai J.

AU - Mehrtash, Alireza

AU - Allison, Tavis

AU - Arnaout, Omar

AU - Abbosh, Christopher

AU - Dunn, Ian F.

AU - Mak, Raymond H.

AU - Tamimi, Rulla M.

AU - Tempany, Clare M.

AU - Swanton, Charles

AU - Hoffmann, Udo

AU - Schwartz, Lawrence H.

AU - Gillies, Robert J.

AU - Huang, Raymond Y.

AU - Aerts, Hugo J. W. L.

PY - 2019

Y1 - 2019

KW - artificial intelligence

KW - cancer imaging

KW - clinical challenges

KW - deep learning

KW - radiomics

KW - COMPUTER-AIDED DETECTION

KW - DIGITAL BREAST TOMOSYNTHESIS

KW - BACKGROUND PARENCHYMAL ENHANCEMENT

KW - CONVOLUTIONAL NEURAL-NETWORK

KW - MULTI-PARAMETRIC MRI

KW - DETECTION CAD SYSTEM

KW - HIGH-GRADE GLIOMAS

KW - PROSTATE-CANCER

KW - LUNG-CANCER

KW - PULMONARY NODULES

U2 - 10.3322/caac.21552

DO - 10.3322/caac.21552

M3 - Review article

VL - 69

SP - 127

EP - 157

JO - Ca-A Cancer Journal for Clinicians

JF - Ca-A Cancer Journal for Clinicians

SN - 0007-9235

IS - 2

ER -

Bi WL, Hosny A, Schabath MB, Giger ML, Birkbak NJ, Mehrtash A et al. Artificial intelligence in cancer imaging: Clinical challenges and applications. Ca-A Cancer Journal for Clinicians. 2019;69(2):127-157. https://doi.org/10.3322/caac.21552

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