Store besparelser
Hurtig levering
Gemte
Log ind
0
Kurv
Bøger
Bestsellers
Kommer snart
Nyheder
Spil og hobby
Hjem
Kategorier
Bestsellers
Kommer snart
Nyheder
FAQ
Konto
Kontakt
Kurv
  1. Bog
  2. Sygdomme og lidelser
  3. Onkologi
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
Se mere i:
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
Paperback
431 kr
Tilføj til kurv
Sikker betaling
6 - 8 hverdage
Om denne bog

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.

​
Vis mere
Product detaljer
Sprog:
Engelsk
Sider:
34
ISBN-13:
9789811989360
Indbinding:
Paperback
Udgave:
ISBN-10:
9811989362
Kategori:
Udg. Dato:
19 jan 2023
Længde:
0mm
Bredde:
155mm
Højde:
235mm
Forlag:
Springer Verlag, Singapore
Oplagsdato:
19 jan 2023
Forfatter(e):
Kategori sammenhænge