The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Computerized analysis of pigmented skin lesions: A review
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Citations
Cites
Fernandez Alcon, J., Ciuhu, C., ten Kate, W., Heinrich, A., Uzunbajakava, N., Krekels, G., Siem, D., & de Haan, G. (2009) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2008.2011156 · Cited by 210
Piccolo, D., Ferrari, A., Peris, K., Daidone, R., Ruggeri, B., & Chimenti, S. (2002) · British Journal of Dermatology · doi:10.1046/j.1365-2133.2002.04978.x · Cited by 159
Dreiseitl, S., & Binder, M. (2005) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2004.07.007 · Cited by 102
Cited by
PH2 - A dermoscopic image database for research and benchmarking
Mendonca, T., Ferreira, P. M., Marques, J. S., Marcal, A. R. S., & Rozeira, J. (2013) · 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2013.6610779 · Cited by 1,009
Automatic skin lesion segmentation using deep fully convolutional networks with jaccard distance.
Yuan, Y., Chao, M., & Lo, Y.-C. (2017) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2017.2695227 · Cited by 687
Melanoma detection by analysis of clinical images using convolutional neural network
Nasr-Esfahani, E., Samavi, S., Karimi, N., Soroushmehr, S. M. R., Jafari, M. H., Ward, K., & Najarian, K. (2016) · 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2016.7590963 · Cited by 373
MED-NODE: A computer-assisted melanoma diagnosis system using non-dermoscopic images
Giotis, I., Molders, N., Land, S., Biehl, M., Jonkman, M. F., & Petkov, N. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.04.034 · Cited by 364
A multi-class skin Cancer classification using deep convolutional neural networks
Chaturvedi, S. S., Tembhurne, J. V., & Diwan, T. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-09388-2 · Cited by 283
Metadata
- Authors
- Korotkov, K., & Garcia, R.
- Venue
- Artificial Intelligence in Medicine
- Publisher
- Elsevier BV
- Published
- 2012-10
- Volume
- 56
- Issue
- 2
- Pages
- 69-90
- ISSN
- 0933-3657 (ISSN-L)
- OpenAlex
- W2078187356
- Cited by
- 355
- References
- 3
- FWCI
- 11.36
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Computerized analysis of pigmented skin lesions: A review. https://app.cochat.ai/papers/10.1016/j.artmed.2012.08.002
- The paper
- Korotkov, K., & Garcia, R. (2012). Computerized analysis of pigmented skin lesions: A review. Artificial Intelligence in Medicine. https://doi.org/10.1016/j.artmed.2012.08.002
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.
