Fully-Automated Analysis of Body Composition from CT in Cancer Patients Using Convolutional Neural Networks
Open accessThe 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
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Non-invasive measurement of body compartments has been fully automated and applied to pancreatic ductal adenocarcinoma through artificial intelligence, and could be incorporated into routine diagnostic imaging.
“The non-invasive measurement of different body compartments has already been fully automated and applied to pancreatic ductal adenocarcinoma through artificial intelligence methodologies, and this application could be easily incorporated into the evaluation of routine diagnostic imaging.119”
From Early detection of pancreatic cancer (2020) · cites this paper as [119]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
U-Net: Convolutional Networks for Biomedical Image Segmentation
Ronneberger, O., Fischer, P., & Brox, T. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-24574-4_28 · Cited by 99,404 · see citing works
Densely Connected Convolutional Networks
Huang, G., Liu, Z., Van Der Maaten, L., & Weinberger, K. Q. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.243 · Cited by 48,566 · see citing works
Aggregated Residual Transformations for Deep Neural Networks
Xie, S., Girshick, R., Dollar, P., Tu, Z., & He, K. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.634 · Cited by 12,465 · see citing works
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Milletari, F., Navab, N., & Ahmadi, S.-A. (2016) · 2016 Fourth International Conference on 3D Vision (3DV) · doi:10.1109/3dv.2016.79 · Cited by 11,931 · see citing works
Prado, C. M., Lieffers, J. R., McCargar, L. J., Reiman, T., Sawyer, M. B., Martin, L., & Baracos, V. E. (2008) · The Lancet Oncology · doi:10.1016/s1470-2045(08)70153-0 · Cited by 3,238 · see citing works
Martin, L., Birdsell, L., Macdonald, N., Reiman, T., Clandinin, M. T., McCargar, L. J., Murphy, R. A., Ghosh, S., Sawyer, M. B., & Baracos, V. E. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2012.45.2722 · Cited by 2,698 · see citing works
Shen, W., Punyanitya, M., Wang, Z., Gallagher, D., St.-Onge, M.-P., Albu, J., Heymsfield, S. B., & Heshka, S. (2004) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00744.2004 · Cited by 1,692 · see citing works
Visceral adipose tissue: relations between single-slice areas and total volume
Shen, W., Punyanitya, M., Wang, Z., Gallagher, D., St‐Onge, M., Albu, J., Heymsfield, S. B., & Heshka, S. (2004) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/80.2.271 · Cited by 352 · see citing works
Lee, H., Troschel, F. M., Tajmir, S., Fuchs, G., Mario, J., Fintelmann, F. J., & Do, S. (2017) · Journal of Imaging Informatics in Medicine · doi:10.1007/s10278-017-9988-z · Cited by 163 · see citing works
Self-citationAltered exocrine function can drive adipose wasting in early pancreatic cancer
Danai, L. V., Babic, A., Rosenthal, M. H., Dennstedt, E. A., Muir, A., Lien, E. C., Mayers, J. R., Tai, K., Lau, A. N., Jones-Sali, P., et al. (2018) · Nature · doi:10.1038/s41586-018-0235-7 · Cited by 141 · see citing works
Self-citationPopuri, K., Cobzaş, D., Esfandiari, N., Baracos, V. E., & Jägersand, M. (2015) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2015.2479252 · Cited by 138 · see citing works
Kullberg, J., Hedström, A., Brandberg, J., Strand, R., Johansson, L., Bergström, G. M. L., & Ahlström, H. K. (2017) · Scientific Reports · doi:10.1038/s41598-017-08925-8 · Cited by 89 · see citing works
Spotting L3 slice in CT scans using deep convolutional network and transfer learning
Belharbi, S., Chatelain, C., Hérault, R., Adam, S., Thureau, S., Chastan, M., & Modzelewski, R. (2017) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2017.05.018 · Cited by 63 · see citing works
Foldyna, B., Troschel, F. M., Addison, D., Fintelmann, F. J., Elmariah, S., Furman, D., Eslami, P., Ghoshhajra, B. B., Lu, M. T., Murthy, V. L., et al. (2018) · Journal of cardiovascular computed tomography · doi:10.1016/j.jcct.2018.03.007 · Cited by 60 · see citing works
Self-citationKim, Y. J., Park, J. W., Kim, J. W., Park, C.-S., Gonzalez, J. P., Lee, S.-H., Kim, K. G., & Oh, J. H. (2016) · JMIR Medical Informatics · doi:10.2196/medinform.4923 · Cited by 41 · see citing works
Parikh, A. M., Coletta, A. M., Yu, Z., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0183515 · Cited by 23 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [11]11. termine visceral adipose tissue volume using computed tomography images. PLoS ONE 12(8), e0183515 (2017)
Cited by
Sorted by citations
Early detection of pancreatic cancer
Pereira, S. P., Oldfield, L., Ney, A., Hart, P. A., Keane, M. G., Pandol, S. J., Li, D., Greenhalf, W., Jeon, C. Y., Koay, E. J., et al. (2020) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(19)30416-9 · Cited by 482 · see citing works
- Authors
- Bridge, C. P., Rosenthal, M., Wright, B., Kotecha, G., Fintelmann, F., Troschel, F., Miskin, N., Desai, K., Wrobel, W., Babic, A., Khalaf, N., Brais, L., Welch, M., Zellers, C., Tenenholtz, N., Michalski, M., Wolpin, B., & Andriole, K.
- Affiliations
- Massachusetts General Hospital (US)
- Brigham and Women's Hospital (US)
- Dana-Farber Cancer Institute (US)
- Corresponding author
- Bridge, Christopher P.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2018
- Pages
- 204-213
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2887567374
- Cited by
- 69
- References
- 16
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 12 · 2023: 8 · 2022: 5 · 2021: 13 · 2020: 15 · 2019: 3
- FWCI
- 2.34
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
- Physical Sciences › Engineering › Biomedical Engineering › Medical Imaging and Analysis
- Keywords
- body composition, computed tomography, automated image segmentation, muscle mass, fat mass, DenseNet, U-Net, cancer patients, deep learning
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
