@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",
}