Automatic Segmentation of Unknown Objects, with Application to Baggage Security
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
The generative model approach [32] cannot directly predict segmentation scores such as DSC.
“Such an approach cannot not be used to directly predict segmentation scores such as DSC, but can be useful to inform automatic quality control or to automatically select the best segmentation from a set of candidates.”
From Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth (2017) · cites this paper as [32]
Cited by
Sorted by citations
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth
Valindria, V. V., Lavdas, I., Bai, W., Kamnitsas, K., Aboagye, E. O., Rockall, A. G., Rueckert, D., & Glocker, B. (2017) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2017.2665165 · Cited by 152 · see citing works
- Authors
- Grady, L., Singh, V., Kohlberger, T., Alvino, C., & Bahlmann, C.
- Affiliations
- HeartFlow (United States) (US)
- Siemens (United States) (US)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2012
- Pages
- 430-444
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W57246982
- Cited by
- 18
- References
- 0
- Citations by year
- 2022: 1 · 2020: 2 · 2018: 1 · 2017: 3 · 2016: 3 · 2015: 5 · 2013: 2 · 2012: 1
- FWCI
- 1.82
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Engineering › Biomedical Engineering › Advanced X-ray and CT Imaging
- Keywords
- automated image segmentation, 3D CT images, unknown object, threat detection
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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