Metrics reloaded: recommendations for image analysis validation-Reference-Cited by-同舟云学术

Metrics reloaded: recommendations for image analysis validation

Published:2024-02 Issue:2 Volume:21 Page:195-212
ISSN:1548-7091
Container-title:Nature Methods
language:en
Short-container-title:Nat Methods

Author:

Maier-Hein Lena^ORCID,Reinke Annika^ORCID,Godau Patrick^ORCID,Tizabi Minu D.,Buettner Florian,Christodoulou Evangelia,Glocker Ben^ORCID,Isensee Fabian,Kleesiek Jens,Kozubek Michal^ORCID,Reyes Mauricio,Riegler Michael A.^ORCID,Wiesenfarth Manuel,Kavur A. Emre,Sudre Carole H.,Baumgartner Michael,Eisenmann Matthias^ORCID,Heckmann-Nötzel Doreen,Rädsch Tim^ORCID,Acion Laura^ORCID,Antonelli Michela^ORCID,Arbel Tal^ORCID,Bakas Spyridon^ORCID,Benis Arriel^ORCID,Blaschko Matthew B.,Cardoso M. Jorge^ORCID,Cheplygina Veronika^ORCID,Cimini Beth A.^ORCID,Collins Gary S.^ORCID,Farahani Keyvan,Ferrer Luciana,Galdran Adrian,van Ginneken Bram,Haase Robert^ORCID,Hashimoto Daniel A.^ORCID,Hoffman Michael M.^ORCID,Huisman Merel,Jannin Pierre^ORCID,Kahn Charles E.^ORCID,Kainmueller Dagmar,Kainz Bernhard,Karargyris Alexandros^ORCID,Karthikesalingam Alan,Kofler Florian,Kopp-Schneider Annette^ORCID,Kreshuk Anna^ORCID,Kurc Tahsin,Landman Bennett A.^ORCID,Litjens Geert^ORCID,Madani Amin,Maier-Hein Klaus,Martel Anne L.^ORCID,Mattson Peter^ORCID,Meijering Erik^ORCID,Menze Bjoern^ORCID,Moons Karel G. M.,Müller Henning^ORCID,Nichyporuk Brennan^ORCID,Nickel Felix,Petersen Jens,Rajpoot Nasir^ORCID,Rieke Nicola^ORCID,Saez-Rodriguez Julio^ORCID,Sánchez Clara I.,Shetty Shravya,van Smeden Maarten,Summers Ronald M.^ORCID,Taha Abdel A.^ORCID,Tiulpin Aleksei^ORCID,Tsaftaris Sotirios A.,Van Calster Ben,Varoquaux Gaël^ORCID,Jäger Paul F.^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41592-023-02151-z.pdf

Reference74 articles.

1. Kelly, C. J., Karthikesalingam, A., Suleyman, M., Corrado, G. & King, D. Key challenges for delivering clinical impact with artificial intelligence. BMC Med. 17, 195 (2019).

2. Shah, N. H., Milstein, A. & Bagley, S. C. Making machine learning models clinically useful. JAMA 322, 1351–1352 (2019).

3. Correia, P. & Pereira, F. Video object relevance metrics for overall segmentation quality evaluation. EURASIP J. Adv. Signal Process. 2006, 082195 (2006).

4. Gooding, M. J. et al. Comparative evaluation of autocontouring in clinical practice: a practical method using the turing test. Med. Phys. 45, 5105–5115 (2018).

5. Honauer, K., Maier-Hein, L. and Kondermann, D. The HCI stereo metrics: Geometry-aware performance analysis of stereo algorithms. In Proceedings of the IEEE International Conference on Computer Vision, 2120–2128 (2015).

Cited by 43 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Subcutaneous edema segmentation on abdominal CT using multi-class labels and iterative annotation;International Journal of Computer Assisted Radiology and Surgery;2024-09-14

2. Cervical‐YOSA: Utilizing prompt engineering and pre‐trained large‐scale models for automated segmentation of multi‐sequence MRI images in cervical cancer;IET Image Processing;2024-09-05

3. Research on Symbol Recognition Method of Historical Buildings along the Chinese Eastern Railroad based on Improved YOLOv8s Technology Framework;2024-09-05

4. Development, deployment and scaling of operating room-ready artificial intelligence for real-time surgical decision support;npj Digital Medicine;2024-09-03

5. Radiomic-based prediction of lesion-specific systemic treatment response in metastatic disease;Computerized Medical Imaging and Graphics;2024-09