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Current Applications of Deep Learning in Cancer Diagnostics (Original PDF from Publisher)

Deep Learning in Cancer Diagnostics: A Comprehensive Guide

Author: Jyotismita Chaki

Published by: CRC Press, February 22, 2023

Language: English

ISBN: 9781032223193, 9781000836158

This book delves into the deep learning-based approaches in the field of cancer diagnostics, focusing on pre-processing techniques that are crucial for accurate diagnostics. It covers a wide range of topics including:

  1. Introduction to current applications of deep learning in cancer diagnostics
  2. Pre-processing of cancer data using deep learning
  3. Review of deep learning techniques in oncology
  4. Overview of advanced deep learning techniques in cancer diagnostics
  5. Prediction of cancer susceptibility using deep learning techniques
  6. Prediction of cancer reoccurrence using deep learning techniques
  7. Deep learning techniques to predict the grading of human cancer
  8. Different human cancer detection using deep learning techniques
  9. Prediction of cancer survival using deep learning techniques
  10. Complexity in the use of deep learning in cancer diagnostics
  11. Challenges and future scopes of deep learning techniques in oncology

This comprehensive guide is essential for researchers, oncologists, and data scientists working in the field of cancer diagnostics. It provides a detailed understanding of how deep learning techniques can be applied to improve the accuracy and efficiency of cancer diagnostics.

For more information about the book, please visit the publisher’s website.

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