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Microarrays / Dimension reduction / Statistical classification / Principal component analysis / Unsupervised learning / DNA microarray / Pattern recognition / Supervised learning / Prostate cancer / Statistics / Machine learning / Multivariate statistics


Using deep learning to enhance cancer diagnosis and classification Rasool Fakoor Faisal Ladhak Azade Nazi Manfred Huber
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Document Date: 2013-06-18 00:11:44


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City

Atlanta / Arlington / /

Company

Neural Information Processing Systems / Goumnerova L.C. / /

Country

United States / /

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Facility

University of Texas / /

IndustryTerm

deep learning @ONLINE / feature selection algorithm / stage feature learning algorithms / gene-chip / baseline algorithms / deep belief networks / biological and clinical applications / feature learning algorithm / audio applications / convolutional deep belief networks / above-mentioned image data applications / Gene-chips / /

MedicalCondition

individual cancer / Ovarian Cancer / myelodysplastic syndrome / 2009b. cancer diagnosis using tumor / given tumor / distant metastasis / Colon Cancer / clinical prostate cancer / prostate cancer / lymph-node-negative primary breast cancer / testicular seminoma / breast cancer / Adenocarcinoma / cancers / Leukemia / tumor / different tumor / common cancer / cancer / human leukemia / disease / different cancers / inflammatory breast cancer / published leukemia / tumour / M. Common human cancer / lung cancer / Medulloblastoma / lung adenocarcinomas / specific cancer / different cancer / acute myeloid leukemia / Seminoma / /

Organization

University of Texas at Arlington / National Academy of Sciences / D. Ensemble / /

Person

Faisal Ladhak Azade / Manfred Huber / /

Position

MP / messenger / author / /

Product

Pentax K-x Digital Camera / /

ProgrammingLanguage

K / /

ProvinceOrState

Texas / Georgia / /

PublishedMedium

Machine Learning / PLoS ONE / Breast Cancer Research and Treatment / /

Technology

Bioinformatics / feature selection algorithm / second stage feature learning algorithms / machine learning / cancer detection / neural network / proposed algorithm / baseline algorithms / DNA Chip / gene expression / feature learning algorithm / http / /

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