Deep learning in Cancer Diagnostics: a feature-based transfer learning evaluation

This book highlights the use of state-of-the-art Deep learning (DL) techniques in cancer diagnosis. It includes the diagnosis of four types of common cancers, i.e., breast, lung, oral and skin. This book also discusses the use of DL methods in combination with imaging techniques to identify cancer...

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Main Authors: Arzmi, Mohd Hafiz, Abdul Majeed, Anwar P.P., Musa, Rabiu Muazu, Mohd Razman, Mohd Azraai, Gan, Hong-Seng, Mohd Khairuddin, Ismail, Ab. Nasir, Ahmad Fakhri
Format: Book
Language:English
Published: Springer 2023
Subjects:
Online Access:http://irep.iium.edu.my/103826/2/103826_Deep%20learning%20in%20Cancer%20Diagnostics%20a%20feature-based%20transfer.pdf
http://irep.iium.edu.my/103826/
https://doi.org/10.1007/978-981-19-8937-7
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spelling my.iium.irep.1038262023-12-27T13:48:52Z http://irep.iium.edu.my/103826/ Deep learning in Cancer Diagnostics: a feature-based transfer learning evaluation Arzmi, Mohd Hafiz Abdul Majeed, Anwar P.P. Musa, Rabiu Muazu Mohd Razman, Mohd Azraai Gan, Hong-Seng Mohd Khairuddin, Ismail Ab. Nasir, Ahmad Fakhri QR Microbiology QR180 Immunology R Medicine (General) RK Dentistry This book highlights the use of state-of-the-art Deep learning (DL) techniques in cancer diagnosis. It includes the diagnosis of four types of common cancers, i.e., breast, lung, oral and skin. This book also discusses the use of DL methods in combination with imaging techniques to identify cancer correctly. Springer 2023 Book PeerReviewed application/pdf en http://irep.iium.edu.my/103826/2/103826_Deep%20learning%20in%20Cancer%20Diagnostics%20a%20feature-based%20transfer.pdf Arzmi, Mohd Hafiz and Abdul Majeed, Anwar P.P. and Musa, Rabiu Muazu and Mohd Razman, Mohd Azraai and Gan, Hong-Seng and Mohd Khairuddin, Ismail and Ab. Nasir, Ahmad Fakhri (2023) Deep learning in Cancer Diagnostics: a feature-based transfer learning evaluation. Springer, Singapore. ISBN 978-981-19-8936-0 https://doi.org/10.1007/978-981-19-8937-7
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic QR Microbiology
QR180 Immunology
R Medicine (General)
RK Dentistry
spellingShingle QR Microbiology
QR180 Immunology
R Medicine (General)
RK Dentistry
Arzmi, Mohd Hafiz
Abdul Majeed, Anwar P.P.
Musa, Rabiu Muazu
Mohd Razman, Mohd Azraai
Gan, Hong-Seng
Mohd Khairuddin, Ismail
Ab. Nasir, Ahmad Fakhri
Deep learning in Cancer Diagnostics: a feature-based transfer learning evaluation
description This book highlights the use of state-of-the-art Deep learning (DL) techniques in cancer diagnosis. It includes the diagnosis of four types of common cancers, i.e., breast, lung, oral and skin. This book also discusses the use of DL methods in combination with imaging techniques to identify cancer correctly.
format Book
author Arzmi, Mohd Hafiz
Abdul Majeed, Anwar P.P.
Musa, Rabiu Muazu
Mohd Razman, Mohd Azraai
Gan, Hong-Seng
Mohd Khairuddin, Ismail
Ab. Nasir, Ahmad Fakhri
author_facet Arzmi, Mohd Hafiz
Abdul Majeed, Anwar P.P.
Musa, Rabiu Muazu
Mohd Razman, Mohd Azraai
Gan, Hong-Seng
Mohd Khairuddin, Ismail
Ab. Nasir, Ahmad Fakhri
author_sort Arzmi, Mohd Hafiz
title Deep learning in Cancer Diagnostics: a feature-based transfer learning evaluation
title_short Deep learning in Cancer Diagnostics: a feature-based transfer learning evaluation
title_full Deep learning in Cancer Diagnostics: a feature-based transfer learning evaluation
title_fullStr Deep learning in Cancer Diagnostics: a feature-based transfer learning evaluation
title_full_unstemmed Deep learning in Cancer Diagnostics: a feature-based transfer learning evaluation
title_sort deep learning in cancer diagnostics: a feature-based transfer learning evaluation
publisher Springer
publishDate 2023
url http://irep.iium.edu.my/103826/2/103826_Deep%20learning%20in%20Cancer%20Diagnostics%20a%20feature-based%20transfer.pdf
http://irep.iium.edu.my/103826/
https://doi.org/10.1007/978-981-19-8937-7
_version_ 1787131859475365888
score 13.211869