Deep Learning for Cancer Diagnosis 1st Edition by Utku Kose,Jafar Alzubi ISBN 9811563209 978-9811563201

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Product details:

ISBN 10: 9811563209 

ISBN 13: 978-9811563201

Author: Utku Kose, Jafar Alzubi

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.

Table of contents:

Cover

Front Matter

1. Fusion of Deep Learning and Image Processing Techniques for Breast Cancer Diagnosis

2. Performance Evaluation of Classification Algorithms on Diagnosis of Breast Cancer and Skin Disease

3. Deep Learning Algorithms in Medical Image Processing for Cancer Diagnosis: Overview, Challenges and Future

4. Classification of Canine Fibroma and Fibrosarcoma Histopathological Images Using Convolutional Neural Networks

5. Evaluation of Big Data Based CNN Models in Classification of Skin Lesions with Melanoma

6. Combined Radiology and Pathology Based Classification of Tumor Types

7. Improved Deep Learning Techniques for Better Cancer Diagnosis

8. Using Deep Learning Techniques in Detecting Lung Cancer

9. Effective Use of Deep Learning and Image Processing for Cancer Diagnosis

10. A Deep Learning Architecture for Identification of Breast Cancer on Mammography by Learning Various Representations of Cancerous Mass

11. Deep Learning for Brain Tumor Segmentation

12. Convolutional Neural Network Approach for the Detection of Lung Cancers in Chest X-Ray Images

13. Future of Deep Learning for Cancer Diagnosis

14. Brain Tumor Segmentation Using 2D-UNET Convolutional Neural Network

15. Use of Deep Learning Approaches in Cancer Diagnosis

16. Deep Learning for Magnetic Resonance Images of Gliomas

 

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Tags: Utku Kose, Jafar Alzubi, Deep Learning for, Cancer Diagnosis