Ahmed, Imran, Chehri, Abdellah, Jeon, Gwanggil and Piccialli, Francesco (2022) Automated pulmonary nodule classification and detection using deep learning architectures. IEEE/ACM Transactions on Computational Biology and Bioinformatics. ISSN 1557-9964
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Item Type: | Journal Article |
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Additional Information: | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.” |
Keywords: | Biomedical imaging, Lung nodule detection, Deep learning, Transfer learning, LIDC-IDRI |
Faculty: | Faculty of Science & Engineering |
SWORD Depositor: | Symplectic User |
Depositing User: | Symplectic User |
Date Deposited: | 21 Jul 2022 20:40 |
Last Modified: | 28 Jul 2022 17:09 |
URI: | https://arro.anglia.ac.uk/id/eprint/707762 |
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