Deep Learning for Cancer Diagnosis

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  • Deep Learning for Cancer Diagnosis Book Detail

  • Author : Utku Kose
  • Release Date : 2020-09-12
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Pages : 311
  • ISBN 13 : 9811563217
  • File Size : 74,74 MB

Deep Learning for Cancer Diagnosis by Utku Kose PDF Summary

Book Description: This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed. Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation.

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Deep Learning for Cancer Diagnosis

Deep Learning for Cancer Diagnosis

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This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagno

Deep Learning for Cancer Diagnosis

Deep Learning for Cancer Diagnosis

File Size : 61,61 MB
Total View : 6582 Views
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This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagno

Deep Learning in Cancer Diagnostics

Deep Learning in Cancer Diagnostics

File Size : 82,82 MB
Total View : 8833 Views
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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 es