reviewTop 1% cited
Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges
Cancer Letters · 2019 · Vol. 471 · pp. 61–71
Shigao Huang(University of Macau)Jie Yang(University of Macau)Simon Fong✉(University of Macau)Qi Zhao✉(University of Macau)
AI in cancer detectionRadiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and EducationCancerArtificial intelligenceDiseaseMachine learningComputer scienceMedicineMedical physicsIntensive care medicinePathologyInternal medicine
MeSH terms
Artificial IntelligenceHumansNeoplasmsPrognosis
Funding
- Universidade de Macau
Citations
647
FWCI
29.23
field-weighted impact
References
129
Percentile
100%
vs. same field & year
Citations per year
Cited by
The Role of Artificial Intelligence in Early Cancer Diagnosis
Cancers · 2022 · 308 citations
References
Radiomics: Images Are More than Pictures, They Are Data
Radiology · 2015 · 8,030 citations
Machine Learning in Medicine
Circulation · 2015 · 3,320 citations
Dermatologist-level classification of skin cancer with deep neural networks
Nature · 2017 · 13,224 citations
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
Nature Medicine · 2018 · 2,777 citations
Tumour-infiltrating lymphocytes and prognosis in different subtypes of breast cancer: a pooled analysis of 3771 patients treated with neoadjuvant therapy
The Lancet Oncology · 2017 · 2,068 citations
Artificial intelligence in radiology
Nature reviews. Cancer · 2018 · 3,504 citations
Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists
Annals of Oncology · 2018 · 1,505 citations
High-performance medicine: the convergence of human and artificial intelligence
Nature Medicine · 2018 · 7,614 citations
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