Mohd Hafiz Arzmi

(Author)

Deep Learning in Cancer Diagnostics: A Feature-Based Transfer Learning Evaluation (2023)Paperback - 2023, 19 January 2023

Deep Learning in Cancer Diagnostics: A Feature-Based Transfer Learning Evaluation (2023)
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Part of Series
Springerbriefs in Applied Sciences and Technology
Part of Series
Springerbriefs in Forensic and Medical Bioinformatics
Print Length
34 pages
Language
English
Publisher
Springer
Date Published
19 Jan 2023
ISBN-10
9811989362
ISBN-13
9789811989360

Description

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.

Product Details

Authors:
Mohd Hafiz ArzmiAnwar P P Abdul MajeedRabiu Muazu MusaMohd Azraai Mohd RazmanHong-Seng GanIsmail Mohd KhairuddinAhmad Fakhri Ab Nasir
Book Edition:
2023
Book Format:
Paperback
Country of Origin:
NL
Date Published:
19 January 2023
Dimensions:
23.39 x 15.6 x 0.25 cm
ISBN-10:
9811989362
ISBN-13:
9789811989360
Language:
English
Location:
Singapore
Pages:
34
Publisher:
Weight:
77.11 gm

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