Deep Learning in Cancer Diagnostics : A Feature-based Transfer Learning EvaluationHerausgeber [E-Book] / by Mohd Hafiz Arzmi, Anwar P. P. Abdul Majeed, Rabiu Muazu Musa, Mohd Azraai Mohd Razman, Hong-Seng Gan, Ismail Mohd Khairuddin, Ahmad Fakhri Ab. Nasir
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...
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Full text |
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Personal Name(s): | Arzmi, Mohd Hafiz, author |
Ab. Nasir, Ahmad Fakhri, author / Gan, Hong-Seng, author / Mohd Khairuddin, Ismail, author / Mohd Razman, Mohd Azraai, author / Muazu Musa, Rabiu, author / P. P. Abdul Majeed, Anwar, author | |
Edition: |
1st edition 2023 |
Imprint: |
Singapore :
Springer,
2023
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Physical Description: |
X, 34 pages 13 illustrations, 11 illustration in color (online resource) |
Note: |
englisch |
ISBN: |
9789811989377 |
DOI: |
10.1007/978-981-19-8937-7 |
Series Title: |
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SpringerBriefs in Forensic and Medical Bioinformatics
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Subject (LOC): |
- 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.