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Deep Learning in Cancer Diagnostics : A Feature-based Transfer Learning Evaluation / / 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
| Deep Learning in Cancer Diagnostics : A Feature-based Transfer Learning Evaluation / / 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 |
| Autore | Arzmi Mohd Hafiz |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (41 pages) |
| Disciplina | 610.153 |
| Collana | SpringerBriefs in Forensic and Medical Bioinformatics |
| Soggetto topico |
Medical physics
Artificial intelligence Cancer - Imaging Computational intelligence Medical Physics Artificial Intelligence Cancer Imaging Computational Intelligence |
| ISBN | 981-19-8937-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910645893103321 |
Arzmi Mohd Hafiz
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent trends in mechatronics towards Industry 4.0 : selected articles from iM3F 2020, Malaysia / / Ahmad Fakhri Ab. Nasir [and five others], editors
| Recent trends in mechatronics towards Industry 4.0 : selected articles from iM3F 2020, Malaysia / / Ahmad Fakhri Ab. Nasir [and five others], editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (990 pages) |
| Disciplina | 621 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico | Mechatronics |
| ISBN | 981-334-597-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910522999703321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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