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E-book

Title Deep learning for cancer diagnosis / Utku Kose, Jafar Alzubi, editors
Published Singapore : Springer, [2021]
©2021

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Description 1 online resource (xix, 300 pages)
Series Studies in Computational Intelligence ; v. 908
Studies in computational intelligence ; v. 908.
Contents Fusion of Deep Learning and Image Processing Techniques for Breast Cancer Diagnosis -- Performance Evaluation of Classification Algorithms on Diagnosis of Breast Cancer and Skin Disease -- Deep Learning Algorithms in Medical Image Processing for Cancer Diagnosis: Overview, Challenges and Future -- Classification of Canine Fibroma and Fibrosarcoma Histopathological Images Using Convolutional Neural Networks -- Evaluation of Big Data Based CNN Models in Classification of Skin Lesions with Melanoma -- Combined Radiology and Pathology Based Classification of Tumor Types -- Improved Deep Learning Techniques for Better Cancer Diagnosis -- Using Deep Learning Techniques in Detecting Lung Cancer -- Effective Use of Deep Learning and Image Processing for Cancer Diagnosis -- A Deep Learning Architecture for Identification of Breast Cancer on Mammography by Learning Various Representations of Cancerous Mass -- Deep learning for brain tumor segmentation -- Convolutional Neural Network Approach for the Detection of Lung Cancers in Chest X-Ray Images -- Future of Deep Learning for Cancer Diagnosis -- Brain Tumor Segmentation Using 2D-UNET Convolutional Neural Network -- Use of Deep Learning Approaches in Cancer Diagnosis -- Deep Learning for Magnetic Resonance Images of Gliomas
Summary 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
Notes Print version record
Subject Cancer -- Diagnosis -- Data processing
Machine learning.
Machine Learning
Cancer -- Diagnosis -- Data processing
Machine learning
Form Electronic book
Author Kose, Utku, 1985-
Alzubi, Jafar
ISBN 9789811563218
9811563217