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Published on in Vol 10, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36427, first published .
Uncertainty Estimation in Medical Image Classification: Systematic Review

Uncertainty Estimation in Medical Image Classification: Systematic Review

Uncertainty Estimation in Medical Image Classification: Systematic Review

Authors of this article:

Alexander Kurz1 Author Orcid Image ;   Katja Hauser1 Author Orcid Image ;   Hendrik Alexander Mehrtens1 Author Orcid Image ;   Eva Krieghoff-Henning1 Author Orcid Image ;   Achim Hekler1 Author Orcid Image ;   Jakob Nikolas Kather2 Author Orcid Image ;   Stefan Fröhling3 Author Orcid Image ;   Christof von Kalle4 Author Orcid Image ;   Titus Josef Brinker1 Author Orcid Image
Article Authors Cited by (25) Tweetations (5) Metrics

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  9. Mushtaq F, Bhattacharjee S, Mandia S, Singh K, Chouhan S, Kumar R, Harjule P. Artificial intelligence for computer aided detection of pneumoconiosis: A succinct review since 1974. Engineering Applications of Artificial Intelligence 2024;133:108516 View
  10. Joskowicz L, Di Veroli B, Lederman R, Shoshan Y, Sosna J. Three scans are better than two for follow-up: An automatic method for finding missed and misidentified lesions in cross-sectional follow-up of oncology patients. European Journal of Radiology 2024;176:111530 View
  11. Du X. Uncertainty Separation Method for Simulation With Image and Numerical Data. Journal of Verification, Validation and Uncertainty Quantification 2024;9(1) View
  12. Stember J, Dishner K, Jenabi M, Pasquini L, K Peck K, Saha A, Shah A, O’Malley B, Ilica A, Kelly L, Arevalo-Perez J, Hatzoglou V, Holodny A, Shalu H. Evolutionary Strategies Enable Systematic and Reliable Uncertainty Quantification: A Proof-of-Concept Pilot Study on Resting-State Functional MRI Language Lateralization. Journal of Imaging Informatics in Medicine 2024 View
  13. Zandehshahvar M, van Assen M, Kim E, Kiarashi Y, Keerthipati V, Tessarin G, Muscogiuri E, Stillman A, Filev P, Davarpanah A, Berkowitz E, Tigges S, Lee S, Vey B, De Cecco C, Adibi A. Confidence-Aware Severity Assessment of Lung Disease from Chest X-Rays Using Deep Neural Network on a Multi-Reader Dataset. Journal of Imaging Informatics in Medicine 2024 View
  14. Borah J, Singh H, Sarmah K. A Deep Ensemble Approach for Lung Disease Classification in Chest X-Ray Across Data Distribution Shifts and Unseen Data Generalization. SN Computer Science 2024;5(7) View
  15. Du L, Gao P, Liu Z, Yin N, Wang X. TMODINET: A trustworthy multi-omics dynamic learning integration network for cancer diagnostic. Computational Biology and Chemistry 2024;113:108202 View
  16. Wahid K, Kaffey Z, Farris D, Humbert-Vidan L, Moreno A, Rasmussen M, Ren J, Naser M, Netherton T, Korreman S, Balakrishnan G, Fuller C, Fuentes D, Dohopolski M. Artificial intelligence uncertainty quantification in radiotherapy applications − A scoping review. Radiotherapy and Oncology 2024;201:110542 View
  17. Chen C, Zhao L, Lang Q, Xu Y. A Novel Detection and Classification Framework for Diagnosing of Cerebral Microbleeds Using Transformer and Language. Bioengineering 2024;11(10):993 View
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Books/Policy Documents

  1. Taguelmimt K, Dang H, Miranda G, Visvikis D, Malavaud B, Bert J. Cancer Prevention, Detection, and Intervention. View