Application of Deep Learning Methods in Healthcare and Medical Science

Released on by Rohit Tanwar
preview-18

  • Application of Deep Learning Methods in Healthcare and Medical Science Book Detail

  • Author : Rohit Tanwar
  • Release Date : 2023-01-12
  • Publisher : CRC Press
  • Genre : Computers
  • Pages : 325
  • ISBN 13 : 1000610683
  • File Size : 49,49 MB
DOWNLOAD BOOK

Application of Deep Learning Methods in Healthcare and Medical Science by Rohit Tanwar PDF Summary

Book Description: The volume provides a wealth of up-to-date information on developments and applications of deep learning in healthcare and medicine, providing deep insight and understanding of novel applications that address the tough questions of disease diagnosis, prevention, and immunization. The volume looks at applications of deep learning for major medical challenges such as cancer detection and identification, birth asphyxia among neonates, kidney abnormalities, white blood cell segmentation, diabetic retinopathy detection, and Covid-19 diagnosis, prevention, and immunization. The volume discusses applications of deep learning in detection, diagnosis, intensive examination and evaluation, genomic sequencing, convolutional neural networks for image recognition and processing, and more for health issues such as kidney problems, brain tumors, lung damage, and breast cancer. The authors look at ML for brain tumor segmentation, in lung CT scans, in digital X-ray devices, and for logistic and transport systems for effective delivery of healthcare.

Disclaimer: www.yourbookbest.com does not own Application of Deep Learning Methods in Healthcare and Medical Science books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

The Next Billion Users

The Next Billion Users

File Size : 22,22 MB
Total View : 3578 Views
DOWNLOAD

A digital anthropologist examines the online lives of millions of people in China, India, Brazil, and across the Middle East—home to most of the world’s int