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California State University, Fullerton. Computer Science. degree granting institution.

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Calise, Fulvio. editor.

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Casciola, Luciano. editor.

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Deeter, Anthony, author.

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Goparaju, Aditya Praneeth, author. (orcid)0000-0002-4827-775X

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Guan, Meijian, author.

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Kent State University. College of Arts and Sciences / Department of Computer Science. degree granting institution.

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Ly, Phillip, author.

(1)

Ma, Christopher, author.

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North Dakota State University. Computer Science. degree granting institution.

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Northwestern University. Health Sciences. degree granting institution.

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Ojha, Mamata, author.

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Shen, Shiwen, author.

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Shubbar, Safa, author.

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South Dakota State University. Electrical Engineering & Computer Science. degree granting institution.

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SpringerLink (Online service)

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The University of Akron. Integrated Bioscience. degree granting institution.

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The University of Mississippi. Computer Science. degree granting institution.

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The University of North Carolina at Chapel Hill. Computer Science. degree granting institution.

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University of California, Los Angeles. Bioengineering 0288. degree granting institution.

(1)

Wake Forest University. Computer Science. degree granting institution.

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Yang, Shan, author.

(1)

Zeng, Zexian, author.

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Bioinformatics.

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Artificial intelligence.

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Biomedical engineering.

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Cancer Research.

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Computer Applications.

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General Surgery.

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Life Sciences, general.

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Medical imaging.

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Medicine & Public Health.

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Systematic biology.

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Başkent Library

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Cover image for Mutational Processes Modeling and Early Cancer Diagnosis

Mutational Processes Modeling and Early Cancer Diagnosis

1.

Mutational Processes Modeling and Early Cancer Diagnosis

by

Zeng, Zexian, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:13427649

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Mutational Processes Modeling and Early Cancer Diagnosis / Zeng, Zexian, author.

Cover image for Characterizing Pulmonary Nodules using Machine and Deep Learning Methods to Improve Lung Cancer Diagnosis

Characterizing Pulmonary Nodules using Machine and Deep Learning Methods to Improve Lung Cancer Diagnosis

2.

Characterizing Pulmonary Nodules using Machine and Deep Learning Methods to Improve Lung Cancer Diagnosis

by

Shen, Shiwen, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10827402

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Excerpt:

Characterizing Pulmonary Nodules using Machine and Deep Learning Methods to Improve Lung Cancer

Cover image for Orchestrating Dynamic Deep Learning for Skin Cancer Classification on Mobile Systems

Orchestrating Dynamic Deep Learning for Skin Cancer Classification on Mobile Systems

3.

Orchestrating Dynamic Deep Learning for Skin Cancer Classification on Mobile Systems

by

Ly, Phillip, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10810190

Format:

Excerpt:

Orchestrating Dynamic Deep Learning for Skin Cancer Classification on Mobile Systems / Ly, Phillip

Cover image for Incorporating EMR and Genomic Data Using NLP and Machine Learning to Refine Cancer Treatment

Incorporating EMR and Genomic Data Using NLP and Machine Learning to Refine Cancer Treatment

4.

Incorporating EMR and Genomic Data Using NLP and Machine Learning to Refine Cancer Treatment

by

Guan, Meijian, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10813804

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Excerpt:

Incorporating EMR and Genomic Data Using NLP and Machine Learning to Refine Cancer Treatment / Guan

Cover image for A Study of Computational Problems in Computational Biology and Social Networks: Cancer Informatics and Cascade Modelling

A Study of Computational Problems in Computational Biology and Social Networks: Cancer Informatics and Cascade Modelling

5.

A Study of Computational Problems in Computational Biology and Social Networks: Cancer Informatics and Cascade Modelling

by

Ma, Christopher, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10745465

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Excerpt:

A Study of Computational Problems in Computational Biology and Social Networks: Cancer Informatics

Cover image for Ultrasound Medical Imaging Systems Using Telemedicine and Blockchain for Remote Monitoring of Responses to Neoadjuvant Chemotherapy in Women's Breast Cancer: Concept and Implementation

Ultrasound Medical Imaging Systems Using Telemedicine and Blockchain for Remote Monitoring of Responses to Neoadjuvant Chemotherapy in Women's Breast Cancer: Concept and Implementation

6.

Ultrasound Medical Imaging Systems Using Telemedicine and Blockchain for Remote Monitoring of Responses to Neoadjuvant Chemotherapy in Women's Breast Cancer: Concept and Implementation

by

Shubbar, Safa, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10891755

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Excerpt:

Responses to Neoadjuvant Chemotherapy in Women's Breast Cancer: Concept and Implementation / Shubbar, Safa

Cover image for Minimally Invasive Surgery of the Liver

Minimally Invasive Surgery of the Liver

7.

Minimally Invasive Surgery of the Liver

by

Calise, Fulvio. editor.

http://dx.doi.org/10.1007/978-88-470-2664-3

Format:

Excerpt:

Cancer Research.

Cover image for Mining Interesting Subnetworks from Graphs with Node Attributes

Mining Interesting Subnetworks from Graphs with Node Attributes

8.

Mining Interesting Subnetworks from Graphs with Node Attributes

by

Goparaju, Aditya Praneeth, author. (orcid)0000-0002-4827-775X

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10790959

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Excerpt:

diseases such as cancer.

Cover image for A Web-based Software System Utilizing Consensus Networks to Infer Gene Interactions

A Web-based Software System Utilizing Consensus Networks to Infer Gene Interactions

9.

A Web-based Software System Utilizing Consensus Networks to Infer Gene Interactions

by

Deeter, Anthony, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10891687

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Excerpt:

cancer gene expression data from the Genomic Data Commons in order to create and analyze consensus

Cover image for Non-Rigid Body Mechanical Property Recovery From Images and Videos

Non-Rigid Body Mechanical Property Recovery From Images and Videos

10.

Non-Rigid Body Mechanical Property Recovery From Images and Videos

by

Yang, Shan, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10790737

Format:

Excerpt:

images. With the recovered elasticity parameters and the age of the prostate cancer patients as features

Cover image for Chronic Risk and Disease Management Model Using Structured Query Language and Predictive Analysis

Chronic Risk and Disease Management Model Using Structured Query Language and Predictive Analysis

11.

Chronic Risk and Disease Management Model Using Structured Query Language and Predictive Analysis

by

Ojha, Mamata, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10809708

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Excerpt:

breast cancer, diabetes and congestive heart failure. Different sets of diagnosis, electronic medical

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