Development of novel ensemble model using stacking learning and evolutionary computation techniques for automated hepatocellular carcinoma detection-Reference-Cited by-同舟云学术

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Development of novel ensemble model using stacking learning and evolutionary computation techniques for automated hepatocellular carcinoma detection

Published:2020-10 Issue:4 Volume:40 Page:1512-1524
ISSN:0208-5216
Container-title:Biocybernetics and Biomedical Engineering
language:en
Short-container-title:Biocybernetics and Biomedical Engineering

Author:

Książek Wojciech,Hammad Mohamed,Pławiak Paweł^ORCID,Acharya U. Rajendra,Tadeusiewicz Ryszard

Publisher

Elsevier BV

Subject

Biomedical Engineering

Reference59 articles.

1. Hepatitis B and C virus-related carcinogenesis;Fung;Clin Microbiol Infect,2009

2. Evidence-based diagnosis, staging, and treatment of patients with hepatocellular carcinoma;Bruix;Gastroenterology,2016

3. The case for early detection;Etzioni;Nat Rev Cancer,2003

4. Computer-aided diagnosis for the identification of breast cancer using thermogram images: a comprehensive review;Raghavendra;Infrared Phys Technol,2019

5. An e-Health care services framework for the detection and classification of breast cancer in breast cytology images as an IoMT application;Khan;Future Gener Comput Syst,2019

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