Semantic learning machine improves the CNN-Based detection of prostate cancer in non-contrast-enhanced MRI
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Lapa:2019:GECCOcompa,
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author = "Paulo Lapa and Ivo Goncalves and Leonardo Rundo and
Mauro Castelli",
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title = "Semantic learning machine improves the {CNN}-Based
detection of prostate cancer in non-contrast-enhanced
{MRI}",
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booktitle = "GECCO '19: Proceedings of the Genetic and Evolutionary
Computation Conference Companion",
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year = "2019",
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editor = "Richard Allmendinger and Carlos Cotta and
Carola Doerr and Pietro S. Oliveto and Thomas Weise and
Ales Zamuda and Anne Auger and Dimo Brockhoff and
Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and
David Camacho-Fernandez and Massimiliano Vasile and
Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and
Saul Zapotecas and Qingfu Zhang and Ozgur Akman and
Khulood Alyahya and Juergen Branke and
Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and
Josu {Ceberio Uribe} and Valentino Santucci and
Marco Baioletti and John McCall and Emma Hart and
Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and
Chika Oshima and Stefan Wagner and
Michael Affenzeller and Eneko Osaba and Javier {Del Ser} and
Pascal Kerschke and Boris Naujoks and Vanessa Volz and
Anna I Esparcia-Alcazar and Riyad Alshammari and
Erik Hemberg and Tokunbo Makanju and Brad Alexander and
Saemundur O. Haraldsson and Markus Wagner and
Silvino {Fernandez Alzueta} and Pablo {Valledor Pellicer} and
Thomas Stuetzle and David Walker and Matt Johns and
Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and
Takato Tatsumi and Nadarajen Veerapen and
Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and
Stephen Smith and Stefano Cagnoni and
Robert M. Patton and William {La Cava} and Randal Olson and
Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and
Koji Shimoyama and Hemant Kumar Singh and
Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and
Richard Everson and Handing Wang and Yaochu Jin and
Marcus Gallagher and Mike Preuss and
Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale",
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isbn13 = "978-1-4503-6748-6",
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pages = "1837--1845",
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address = "Prague, Czech Republic",
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DOI = "doi:10.1145/3319619.3326864",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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month = "13-17 " # jul,
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organisation = "SIGEVO",
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keywords = "genetic algorithms, genetic programming, Geometric
Semantic Genetic Programming, GSGP, ANN, Prostate
cancer, Non-contrast-enhanced MRI, Semantic Learning
Machine, Neuroevolution, Convolutional Neural
Networks",
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size = "9 pages",
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abstract = "Considering that Prostate Cancer (PCa) is the most
frequently diagnosed tumour in Western men,
considerable attention has been devoted in
computer-assisted PCa detection approaches. However,
this task still represents an open research question.
In the clinical practice, multiparametric Magnetic
Resonance Imaging (MRI) is becoming the most used
modality, aiming at defining biomarkers for PCa. In the
latest years, deep learning techniques have boosted the
performance in prostate MR image analysis and
classification. This work explores the use of the
Semantic Learning Machine (SLM) neuroevolution
algorithm to replace the backpropagation algorithm
commonly used in the last fully-connected layers of
Convolutional Neural Networks (CNNs). We analysed the
non-contrast-enhanced multispectral MRI sequences
included in the PROSTATEx dataset, namely: T2-weighted,
Proton Density weighted, Diffusion Weighted Imaging.
The experimental results show that the SLM
significantly outperforms XmasNet, a state-of-the-art
CNN. In particular, with respect to XmasNet, the SLM
achieves higher classification accuracy (without
neither pre-training the underlying CNN nor relying on
back propagation) as well as a speed-up of one order of
magnitude.",
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notes = "Also known as \cite{3326864} GECCO-2019 A
Recombination of the 28th International Conference on
Genetic Algorithms (ICGA) and the 24th Annual Genetic
Programming Conference (GP)",
- }
Genetic Programming entries for
Paulo Lapa
Ivo Goncalves
Leonardo Rundo
Mauro Castelli
Citations