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Egfr Assessment in Lung Cancer Ct Images: Analysis of Local and Holistic Regions of Interest Using Deep Unsupervised Transfer Learning

AuthID
P-00T-S3F

Author(s)

Silva, F

Pereira, T

Morgado, J

Frade, J

Mendes, J

Freitas, C

Negrao, E

De Lima, BF

Da Silva, MC

Madureira, AJ

Ramos, I

Hespanhol, V

Costa, JL

Cunha, A

Oliveira, HP

Document Type

Article

Year published

2021

Published

in IEEE ACCESS, ISSN: 2169-3536

Volume: 9, Pages: 58667-58676 (10)

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Dblp^®/en/publications/view/877679

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Google Scholar^®

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Publication Identifiers

DOI: 10.1109/access.2021.3070701

Dblp: journals/access/SilvaPMFMFNLSMR21

Scopus: 2-s2.0-85103794103

Wos: WOS:000641943900001

Source Identifiers

ISSN: 2169-3536

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Egfr Assessment in Lung Cancer Ct Images: Analysis of Local and Holistic Regions of Interest Using Deep Unsupervised Transfer Learning

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Egfr Assessment in Lung Cancer Ct Images: Analysis of Local and Holistic Regions of Interest Using Deep Unsupervised Transfer Learning

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