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Journey toward Computer-aided Diagnosis: Role of Image Texture Analysis
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Citations
Cited by
Radiomics in medical imaging—“how-to” guide and critical reflection
van Timmeren, J. E., Cester, D., Tanadini-Lang, S., Alkadhi, H., & Baessler, B. (2020) · Insights into Imaging · doi:10.1186/s13244-020-00887-2 · Cited by 1,316
Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?
Davnall, F., Yip, C. S. P., Ljungqvist, G., Selmi, M., Ng, F., Sanghera, B., Ganeshan, B., Miles, K. A., Cook, G. J., & Goh, V. (2012) · Insights into Imaging · doi:10.1007/s13244-012-0196-6 · Cited by 878
Cheng, J.-Z., Ni, D., Chou, Y.-H., Qin, J., Tiu, C.-M., Chang, Y.-C., Huang, C.-S., Shen, D., & Chen, C.-M. (2016) · Scientific Reports · doi:10.1038/srep24454 · Cited by 755
Texture Analysis: A Review of Neurologic MR Imaging Applications
Kassner, A., & Thornhill, R. E. (2010) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2061 · Cited by 408
A deep learning framework for supporting the classification of breast lesions in ultrasound images
Han, S., Kang, H.-K., Jeong, J.-Y., Park, M.-H., Kim, W., Bang, W.-C., & Seong, Y.-K. (2017) · Physics in Medicine & Biology · doi:10.1088/1361-6560/aa82ec · Cited by 358
Metadata
- Authors
- Tourassi, G. D.
- Venue
- Radiology
- Published
- 1999-11
- Volume
- 213
- Issue
- 2
- Pages
- 317-320
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W2170051899
- Cited by
- 233
- References
- 0
- FWCI
- 4.56
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Journey toward Computer-aided Diagnosis: Role of Image Texture Analysis. https://app.cochat.ai/papers/10.1148/radiology.213.2.r99nv49317
- The paper
- Tourassi, G. D. (1999). Journey toward Computer-aided Diagnosis: Role of Image Texture Analysis. Radiology. https://doi.org/10.1148/radiology.213.2.r99nv49317
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.