The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Contrast Limited Adaptive Histogram Equalization image processing to improve the detection of simulated spiculations in dense mammograms
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Citations
Cites
Chan, H.-P., Doi, K., Galhotra, S., Vyborny, C. J., MacMahon, H., & Jokich, P. M. (1987) · Medical Physics · doi:10.1118/1.596065 · Cited by 342
Computerized detection of masses in digital mammograms: Analysis of bilateral subtraction images
Yin, F., Giger, M. L., Doi, K., Metz, C. E., Vyborny, C. J., & Schmidt, R. A. (1991) · Medical Physics · doi:10.1118/1.596610 · Cited by 196
Lesion conspicuity, structured noise, and film reader error
Kundel, H., & Révész, G. (1976) · American Journal of Roentgenology · doi:10.2214/ajr.126.6.1233 · Cited by 152
The Influence of Structured Noise on the Detection of Radiologic Abnormalities
Révész, G., Kundel, H. L., & Graber, M. (1974) · Investigative Radiology · doi:10.1097/00004424-197411000-00009 · Cited by 139
Yin, F.-F., Giger, M. L., Vyborny, C. J., Doi, K., & Schmidt, R. A. (1993) · Investigative Radiology · doi:10.1097/00004424-199306000-00001 · Cited by 93
Portal film enhancement: Technique and clinical utility
Rosenman, J. G., Roe, C. A., Cromartie, R., Muller, K. E., & Pizer, S. M. (1993) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/0360-3016(93)90357-2 · Cited by 51
Self-citationPuff, D. T., Pisano, E. D., Muller, K. E., Johnston, R. E., Hemminger, B. M., Burbeck, C. A., McLelland, R., & Pizer, S. M. (1994) · Journal of Imaging Informatics in Medicine · doi:10.1007/bf03168534 · Cited by 33
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Cited by
LIME: Low-Light Image Enhancement via Illumination Map Estimation
Guo, X., Li, Y., & Ling, H. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2639450 · Cited by 2,998
Kindling the Darkness: A Practical Low-light Image Enhancer
Zhang, Y., Zhang, J., & Guo, X. (2019) · Proceedings of the 27th ACM International Conference on Multimedia · doi:10.1145/3343031.3350926 · Cited by 1,507
Approaches for automated detection and classification of masses in mammograms
Cheng, H. D., Shi, X. J., Min, R., Hu, L. M., Cai, X. P., & Du, H. N. (2006) · Pattern Recognition · doi:10.1016/j.patcog.2005.07.006 · Cited by 538
Breast cancer detection using deep convolutional neural networks and support vector machines
Ragab, D. A., Sharkas, M., Marshall, S., & Ren, J. (2019) · PeerJ · doi:10.7717/peerj.6201 · Cited by 513
Mixture contrast limited adaptive histogram equalization for underwater image enhancement
Hitam, M. S., Yussof, W. N. J. H. W., Awalludin, E. A., & Bachok, Z. (2013) · 2013 International Conference on Computer Applications Technology (ICCAT) · doi:10.1109/iccat.2013.6522017 · Cited by 484
Metadata
- Authors
- Pisano, E. D., Zong, S., Hemminger, B. M., DeLuca, M., Johnston, R. E., Muller, K., Braeuning, M. P., & Pizer, S. M.
- Venue
- Journal of Digital Imaging
- Published
- 1998-11
- Volume
- 11
- Issue
- 4
- Pages
- 193-200
- ISSN
- 0897-1889 (ISSN-L)
- 1618-727X
- OpenAlex
- W1986086122
- Cited by
- 766
- References
- 7
- FWCI
- 2.31
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
