The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Machine learning approach for automated screening of malaria parasite using light microscopic images
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Citations
Cites
Textural Features for Image Classification
Haralick, R. M., Shanmugam, K., & Dinstein, I. (1973) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1973.4309314 · Cited by 22,886
The Fractal Geometry of Nature
Mandelbrot, B. B., & Wheeler, J. A. (1983) · American Journal of Physics · doi:10.1119/1.13295 · Cited by 21,832
(2012) · Encyclopedia of the Sciences of Learning · doi:10.1007/978-1-4419-1428-6_5195 · Cited by 19,370
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
Ojala, T., Pietikainen, M., & Maenpaa, T. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1017623 · Cited by 15,398
Visual pattern recognition by moment invariants
Hu, M.-K. (1962) · IEEE Transactions on Information Theory · doi:10.1109/tit.1962.1057692 · Cited by 7,546
The Fractal Geometry of Nature
Mandelbrot, B. B., & Longley, P. (1982) · CERN Document Server (European Organization for Nuclear Research) · Cited by 7,293
Digital Image Processing: PIKS Inside
Pratt, W. K. (2002) · Wiley eBooks · doi:10.1002/0471221325 · Cited by 4,340
Texture analysis using gray level run lengths
Galloway, M. M. (1975) · Computer Graphics and Image Processing · doi:10.1016/s0146-664x(75)80008-6 · Cited by 2,141
Proceedings IEEE International Conference on Acoustics Speech and Signal Processing
Zheng, F., McLaughlin, S., & Mulgrew, B. (1991) · Cited by 1,906
Wintrobe's clinical hematology.
Lee, G. R. (1981) · Medical Entomology and Zoology · Cited by 1,167
Cited by
Microscopic malaria parasitemia diagnosis and grading on benchmark datasets
Rehman, A., Abbas, N., Saba, T., Mehmood, Z., Mahmood, T., & Ahmed, K. T. (2018) · Microscopy Research and Technique · doi:10.1002/jemt.23071 · Cited by 57
Metadata
- Authors
- Das, D. K., Ghosh, M., Pal, M., Maiti, A. K., & Chakraborty, C.
- Venue
- Micron
- Publisher
- Elsevier BV
- Published
- 2013-02
- Volume
- 45
- Pages
- 97-106
- ISSN
- 0968-4328 (ISSN-L)
- OpenAlex
- W2005909996
- Cited by
- 274
- References
- 27
- FWCI
- 2.95
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Machine learning approach for automated screening of malaria parasite using light microscopic images. https://app.cochat.ai/papers/10.1016/j.micron.2012.11.002
- The paper
- Das, D. K., Ghosh, M., Pal, M., Maiti, A. K., & Chakraborty, C. (2013). Machine learning approach for automated screening of malaria parasite using light microscopic images. Micron. https://doi.org/10.1016/j.micron.2012.11.002
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.