Genetic programming for tuberculosis screening from raw X-ray images
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{Burks:2018:GECCO,
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author = "Armand R. Burks and William F. Punch",
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title = "Genetic programming for tuberculosis screening from
raw {X-ray} images",
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booktitle = "GECCO '18: Proceedings of the Genetic and Evolutionary
Computation Conference",
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year = "2018",
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editor = "Hernan Aguirre and Keiki Takadama and
Hisashi Handa and Arnaud Liefooghe and Tomohiro Yoshikawa and
Andrew M. Sutton and Satoshi Ono and Francisco Chicano and
Shinichi Shirakawa and Zdenek Vasicek and
Roderich Gross and Andries Engelbrecht and Emma Hart and
Sebastian Risi and Ekart Aniko and Julian Togelius and
Sebastien Verel and Christian Blum and Will Browne and
Yusuke Nojima and Tea Tusar and Qingfu Zhang and
Nikolaus Hansen and Jose Antonio Lozano and
Dirk Thierens and Tian-Li Yu and Juergen Branke and
Yaochu Jin and Sara Silva and Hitoshi Iba and
Anna I Esparcia-Alcazar and Thomas Bartz-Beielstein and
Federica Sarro and Giuliano Antoniol and Anne Auger and
Per Kristian Lehre",
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isbn13 = "978-1-4503-5618-3",
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pages = "1214--1221",
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address = "Kyoto, Japan",
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DOI = "doi:10.1145/3205455.3205461",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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month = "15-19 " # jul,
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organisation = "SIGEVO",
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keywords = "genetic algorithms, genetic programming",
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abstract = "Genetic programming has been successfully applied to
several real-world problem domains. One such
application area is image classification, wherein
genetic programming has been used for a variety of
problems such as breast cancer detection, face
detection, and pedestrian detection, to name a few. We
present the use of genetic programming for detecting
active tuberculosis in raw X-ray images. Our results
demonstrate that genetic programming evolves
classifiers that achieve promising accuracy results
compared to that of traditional image classification
techniques. Our classifiers do not require
pre-processing, segmentation, or feature extraction
beforehand. Furthermore, our evolved classifiers
process a raw X-ray image and return a classification
orders of magnitude faster than the reported times for
traditional techniques.",
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notes = "Also known as \cite{3205461} GECCO-2018 A
Recombination of the 27th International Conference on
Genetic Algorithms (ICGA-2018) and the 23rd Annual
Genetic Programming Conference (GP-2018)",
- }
Genetic Programming entries for
Armand R Burks
William F Punch
Citations