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Deep Learning in Cancer Diagnostics
- A Feature-based Transfer Learning Evaluation
Af: Mohd Azraai Mohd Razman, Rabiu Muazu Musa, Ahmad Fakhri Ab. Nasir, Ismail Mohd Khairuddin, Anwar P. P. Abdul Majeed, Hong-Seng Gan, Mohd Hafiz Arzmi
Engelsk
Bogcover for Deep Learning in Cancer Diagnostics af Mohd Azraai Mohd Razman, Rabiu Muazu Musa, Ahmad Fakhri Ab. Nasir, Ismail Mohd Khairuddin, Anwar P. P. Abdul Majeed, Hong-Seng Gan, Mohd Hafiz Arzmi, 9789811989360
Specifikationer
Sprog:
Engelsk
Sider:
34
ISBN-13:
9789811989360
Indbinding:
Paperback
ISBN-10:
9811989362
Kategori:
Udg. Dato:
19 jan 2023
Størrelse i cm:
23,5 x 15,5
Forlag:
Serie:
Oplagsdato:
19 jan 2023
Forfatter(e):
Genre:

Deep Learning in Cancer Diagnostics

- A Feature-based Transfer Learning Evaluation
Af: Mohd Azraai Mohd Razman, Rabiu Muazu Musa, Ahmad Fakhri Ab. Nasir, Ismail Mohd Khairuddin, Anwar P. P. Abdul Majeed, Hong-Seng Gan, Mohd Hafiz Arzmi
Engelsk
Paperback 2023
Format:
Paperback
Bog beskrivelse

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.

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Specifikationer
Sprog:
Engelsk
Sider:
34
ISBN-13:
9789811989360
Indbinding:
Paperback
ISBN-10:
9811989362
Kategori:
Udg. Dato:
19 jan 2023
Størrelse i cm:
23,5 x 15,5
Forlag:
Serie:
Oplagsdato:
19 jan 2023
Forfatter(e):
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