Home : Book details

Deep Learning in Cancer Diagnostics: A Feature-based Transfer Learning Evaluation (SpringerBriefs in Applied Sciences and Technology) free ebook download

Category:
Medicine

Views: 69
Likes: 7

Catalogue

Author(s):	Mohd Hafiz Arzmi

Date:	2021	Format:	pdf	Language:	English	ISBN/ASIN:	9811989362
Pages:	44	OCR:		Quality:		ISBN13:
Uploader:	risotor	Upload Date:	1/29/2023 9:12:16 PM

To download click on link in the Links Table below

Description: Click to see full 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.
Read more

Links Table

	Title	Link	Password	Size (MB)	Thank to	Inform Admin
3170240	Book	https://rapidgator.net/file/4123d4f2d9a4...		0.00	risotor

Tags: Applied Cancer Deep Diagnostics Evaluation Feature-based Learning SpringerBriefs Transfer

Title	Link	Password	Size	Reason

Those who downloaded this book also downloaded the following books:
Comments

New comment:

Deep Learning in Cancer Diagnostics: A Feature-based Transfer Learning Evaluation (SpringerBriefs in Applied Sciences and Technology) free ebook download

Category: Medicine

Description: Click to see full description

Category:
Medicine