This paper is in the following e-collection/theme issue:

Artificial Intelligence (1371)

Published on in Vol 22, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17234, first published .
Identification of the Facial Features of Patients With Cancer: A Deep Learning–Based Pilot Study

Identification of the Facial Features of Patients With Cancer: A Deep Learning–Based Pilot Study

Identification of the Facial Features of Patients With Cancer: A Deep Learning–Based Pilot Study

Authors of this article:

Bin Liang1 Author Orcid Image ;   Na Yang2 Author Orcid Image ;   Guosheng He3 Author Orcid Image ;   Peng Huang1 Author Orcid Image ;   Yong Yang1 Author Orcid Image
Article Authors Cited by (14) Tweetations (15) Metrics

Journals

  1. Cancino R, Su Z, Mesa R, Tomlinson G, Wang J. The Impact of COVID-19 on Cancer Screening: Challenges and Opportunities. JMIR Cancer 2020;6(2):e21697 View
  2. Su Z, McDonnell D, Bentley B, He J, Shi F, Cheshmehzangi A, Ahmad J, Jia P. Addressing Biodisaster X Threats With Artificial Intelligence and 6G Technologies: Literature Review and Critical Insights. Journal of Medical Internet Research 2021;23(5):e26109 View
  3. Katsanis S, Claes P, Doerr M, Cook-Deegan R, Tenenbaum J, Evans B, Lee M, Anderton J, Weinberg S, Wagner J, Sane R. A survey of U.S. public perspectives on facial recognition technology and facial imaging data practices in health and research contexts. PLOS ONE 2021;16(10):e0257923 View
  4. Khong F, Connie T, Goh M, Wong L, Teh P, Choo A. Non-invasive health prediction from visually observable features. F1000Research 2022;10:918 View
  5. Zhang N, Jiang Z, Li J, Zhang D. Multiple color representation and fusion for diabetes mellitus diagnosis based on back tongue images. Computers in Biology and Medicine 2023;155:106652 View
  6. Liao J, Liu L, Duan H, Huang Y, Zhou L, Chen L, Wang C. Using a Convolutional Neural Network and Convolutional Long Short-term Memory to Automatically Detect Aneurysms on 2D Digital Subtraction Angiography Images: Framework Development and Validation. JMIR Medical Informatics 2022;10(3):e28880 View
  7. He S, Su H, Li Y, Xu W, Wang X, Han D. Detecting obstructive sleep apnea by craniofacial image–based deep learning. Sleep and Breathing 2022;26(4):1885 View
  8. Su Z, Liang B, Shi F, Gelfond J, Šegalo S, Wang J, Jia P, Hao X. Deep learning-based facial image analysis in medical research: a systematic review protocol. BMJ Open 2021;11(11):e047549 View
  9. Khong F, Connie T, Goh M, Wong L, Teh P, Choo A. Non-invasive health prediction from visually observable features. F1000Research 2021;10:918 View
  10. Zhang N, Jiang Z, Li M, Zhang D. A novel multi-feature learning model for disease diagnosis using face skin images. Computers in Biology and Medicine 2024;168:107837 View
  11. Amanzholova A, Coşkun A. Enhancing cancer stage prediction through hybrid deep neural networks: a comparative study. Frontiers in Big Data 2024;7 View
  12. Kong X, Wang Z, Sun J, Qi X, Qiu Q, Ding X. Facial recognition for disease diagnosis using a deep learning convolutional neural network: a systematic review and meta-analysis. Postgraduate Medical Journal 2024;100(1189):796 View

Books/Policy Documents

  1. Hagag A, Gomaa A, Kornek D, Maier A, Fietkau R, Bert C, Huang Y, Putz F. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024. View