The DOI matches its Crossref record.
Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Convolutional neural networks: an overview and application in radiology
Yamashita, R., Nishio, M., Do, R. K. G., & Togashi, K. (2018) · Insights into Imaging · doi:10.1007/s13244-018-0639-9 · Cited by 4,682
Armato, S. G., McLennan, G., Bidaut, L., McNitt‐Gray, M. F., Meyer, C. R., Reeves, A. P., Zhao, B., Aberle, D. R., Henschke, C. I., Hoffman, E. A., et al. (2011) · Medical Physics · doi:10.1118/1.3528204 · Cited by 2,887
Self-citationSetio, A. A. A., Ciompi, F., Litjens, G., Gerke, P., Jacobs, C., van Riel, S. J., Wille, M. M. W., Naqibullah, M., Sanchez, C. I., & van Ginneken, B. (2016) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2016.2536809 · Cited by 1,258
Automated pulmonary nodule detection in CT images using deep convolutional neural networks
Xie, H., Yang, D., Sun, N., Chen, Z., & Zhang, Y. (2019) · Pattern Recognition · doi:10.1016/j.patcog.2018.07.031 · Cited by 459
Lung Nodule Classification Using Deep Features in CT Images
Kumar, D., Wong, A., & Clausi, D. A. (2015) · 2015 12th Conference on Computer and Robot Vision · doi:10.1109/crv.2015.25 · Cited by 398
Metadata
- Authors
- van Ginneken, B., Armato, S. G., de Hoop, B., van Amelsvoort-van de Vorst, S., Duindam, T., Niemeijer, M., Murphy, K., Schilham, A., Retico, A., Fantacci, M. E., Camarlinghi, N., Bagagli, F., Gori, I., Hara, T., Fujita, H., Gargano, G., Bellotti, R., Tangaro, S., Bolaños, L., Carlo, F. D., Cerello, P., Cristian Cheran, S., Lopez Torres, E., & Prokop, M.
- Venue
- Medical Image Analysis
- Publisher
- Elsevier BV
- Published
- 2010-12
- Volume
- 14
- Issue
- 6
- Pages
- 707-722
- ISSN
- 1361-8415 (ISSN-L)
- OpenAlex
- W2164160732
- Cited by
- 298
- References
- 0
- FWCI
- 12.92
- Type
- journal article
- Language
- en
- Open access
- green
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study. https://app.cochat.ai/papers/10.1016/j.media.2010.05.005
- The paper
- van Ginneken, B., Armato, S. G., de Hoop, B., van Amelsvoort-van de Vorst, S., Duindam, T., Niemeijer, M., Murphy, K., Schilham, A., Retico, A., Fantacci, M. E., Camarlinghi, N., Bagagli, F., Gori, I., Hara, T., Fujita, H., Gargano, G., Bellotti, R., Tangaro, S., Bolaños, L., . . . Prokop, M. (2010). Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study. Medical Image Analysis. https://doi.org/10.1016/j.media.2010.05.005
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
