Deep learning in cancer diagnostics : a feature-based transfer learning evaluation / Mohd Hafiz Arzmi [and six others].
Arzmi, Mohd Hafiz, author.; Majeed, Anwar P. P. Abdul, author.; Muazu Musa, Rabiu, author.; Mohd Razman, Mohd Azraai, author.; Gan, Hong-Seng, author.; Mohd Khairuddin, Ismail, author.; Nasir, Ahmad Fakhri Ab., author.
2023
RC270
Available Online

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Title Deep learning in cancer diagnostics : a feature-based transfer learning evaluation / Mohd Hafiz Arzmi [and six others].
Author Arzmi, Mohd Hafiz, author.
ISBN 9789811989377 (electronic bk.)
9811989370 (electronic bk.)
9789811989360
9811989362
DOI https://doi.org/10.1007/978-981-19-8937-7
Published Singapore : Springer, 2023.
Language English
Description 1 online resource (44 pages) : illustrations (black and white, and colour).
Other Standard Identifiers 10.1007/978-981-19-8937-7 doi
Call Number RC270
Dewey Decimal Classification 616.9940750285631
Summary Cancer is the leading cause of mortality in most, if not all, countries around the globe. It is worth noting that the World Health Organisation (WHO) in 2019 estimated that cancer is the primary or secondary leading cause of death in 112 of 183 countries for individuals less than 70 years old, which is alarming. In addition, cancer affects socioeconomic development as well. The diagnostics of cancer are often carried out by medical experts through medical imaging; nevertheless, it is not without misdiagnosis owing to a myriad of reasons. With the advancement of technology and computing power, the use of state-of-the-art computational methods for the accurate diagnosis of cancer is no longer far-fetched. In this brief, the diagnosis of four types of common cancers, i.e., breast, lung, oral and skin, are evaluated with different state-of-the-art feature-based transfer learning models. It is expected that the findings in this book are insightful to various stakeholders in the diagnosis of cancer.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Majeed, Anwar P. P. Abdul, author.
Muazu Musa, Rabiu, author.
Mohd Razman, Mohd Azraai, author.
Gan, Hong-Seng, author.
Mohd Khairuddin, Ismail, author.
Nasir, Ahmad Fakhri Ab., author.
Series SpringerBriefs in applied sciences and technology. Forensic and medical bioinformatics.
Available in Other Form Deep learning in cancer diagnostics.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
1. Epidemiology, detection and management of cancer
2. A VGG16 feature-based Transfer Learning Evaluation for the diagnosis of Oral Squamous Cell Carcinoma (OSCC)
3. The Classification of Breast Cancer: The effect of hyperparameter optimisation towards the efficacy of feature-based transfer learning pipeline
4. The Classification of Lung Cancer: A DenseNet feature-based Transfer Learning Evaluation
5. Skin Cancer Diagnostics: A VGG Ensemble Approach
6. The Way Forward.

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