Citation notice #8610 · 2026-08-06 00:19:08.049062+00:00
Quest for a clinically relevant medical image segmentation metric: the definition and implementation of Medical Similarity Index
cites On the usage of average Hausdorff distance for segmentation performance assess- ment: hidden error when used for ranking, which carries a correction notice dated 2022-10-31. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.
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01Evidence
Raw extraction · citation context · bibliography index 18
medical image segmentation. BMC Research Notes. 2022;15(1). https://doi.org/ 10.1186/s13104-022-06096-y. [18] Aydin OU, Taha AA, Hilbert A, Khalil AA, Galinovic I, Fiebach JB, et al. On the usage of average Hausdorff distance for segmentation performance assess- ment: hidden error when used for ranking. European Radiology Experimental. 2021;5(1):4. https://doi.org/10.1186/s41747-020-00200-2. [19] Amit Y, Felzenszwalb P, Girshick R. Object detection. In: Computer Vision: A Reference Guide. Springer; 2021. p. 875-883. [20] Bradski G. The OpenCV Library. Dr Dobb's Journal of Software Tools. 2000;. [21] Paszke A, Gross S, Massa F, Lerer A, Bradbury J, Chanan G, et al. PyTorch: An imperative style, high-performance deep learning library. arXiv preprint
02Event
- Type
- Correction
- Source
- Crossref
- Original DOI
- 10.1186/s41747-020-00200-2
- Notice DOI
- 10.1186/s41747-022-00309-6
- Date
- 2022-10-31
- Title
- Correction: On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking
- Reasons
- ['Correction']
- Work
- On the usage of average Hausdorff distance for segmentation performance assess- ment: hidden error when used for ranking (2021) European Radiology Experimental
03Dispute this notice
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