A deep learning hybrid ensemble fusion for chest radiograph classification
Biomedical imaging, archiving, and classification is the recent challenge of computer-aided medical imaging. The popular and influential Deep Learning methods predict and congregate distinct markable features of ambiguity in radiographs precisely and accurately. This study submits a new topology of...
| Main Authors: | Sultana, S., Hussain, S.S., Hashmani, M., Ahmad, J., Zubair, M. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29425 / |
| Published: |
Czech Technical University in Prague
2021
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115448136&doi=10.14311%2fNNW.2021.31.010&partnerID=40&md5=0282577f1681e52f598f23bce3eff081 http://eprints.utp.edu.my/29425/ |
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