Applications of Artificial Intelligence in Medical Imaging

by Abdulhamit Subasi PhD. (Editor)

Overview

Applications of Artificial Intelligence in Medical Imaging provides the description of various biomedical image analysis in disease detection using AI that can be used to incorporate knowledge obtained from different medical imaging devices such as CT, X-ray, PET and ultrasound. The book discusses the use of AI for detection of several cancer types, including brain tumor, breast, pancreatic, rectal, lung colon, and skin. In addition, it explains how AI and deep learning techniques can be used to diagnose Alzheimer's, Parkinson's, COVID-19 and mental conditions.

This is a valuable resource for clinicians, researchers and healthcare professionals who are interested in learning more about AI and its impact in medical/biomedical image analysis.

Product Details

ISBN-13:	9780443184505
Publisher:	Elsevier Science
Publication date:	11/11/2022
Series:	Artificial Intelligence Applications in Healthcare and Medicine
Pages:	380
Product dimensions:	7.50(w) x 9.25(h) x (d)

About the Author

Abdulhamit Subasi is a highly specialized expert in the fields of Artificial Intelligence, Machine Learning, and Biomedical Signal and Image Processing. His extensive expertise in applying machine learning across diverse domains is evident in his numerous contributions, including the authorship of multiple book chapters, as well as the publication of a substantial body of research in esteemed journals and conferences. His career has spanned various prestigious institutions, including the Georgia Institute of Technology in Georgia, USA, where he served as a dedicated researcher. In recognition of his outstanding research contributions, Subasi received the prestigious Queen Effat Award for Excellence in Research in May 2018. His academic journey includes a tenure as a Professor of computer science at Effat University in Jeddah, Saudi Arabia, from 2015 to 2020. Since 2020, he has assumed the role of Professor of medical physics at the Faculty of Medicine, University of Turku in Turku, Finland

Table of Contents

1. Introduction to artificial intelligence techniques for medical image analysis

ABDULHAMIT SUBASI

2. Lung cancer detection from histopathological lung tissue images using deep learning

AAYUSH RAJPUT AND ABDULHAMIT SUBASI

3. Magnetic resonance imagining-based automated brain tumor detection using deep learning techniques

ABHRANTA PANIGRAHI AND ABDULHAMIT SUBASI

4. Breast cancer detection from mammograms using artificial intelligence

ABDULHAMIT SUBASI, AAYUSH DINESH KANDPAL, KOLLA ANANT RAJ AND ULAS BAGCI

5. Breast tumor detection in ultrasound images using artificial intelligence

OMKAR MODI AND ABDULHAMIT SUBASI

6. Artificial intelligence-based skin cancer diagnosis

ABDULHAMIT SUBASI AND SAQIB AHMED QURESHI

7. Brain stroke detection from computed tomography images using deep learning algorithms

AYKUT DIKER, ABDULLAH ELEN AND ABDULHAMIT SUBASI

8. A deep learning approach for COVID-19 detection from computed tomography scans

ASHUTOSH VARSHNEY AND ABDULHAMIT SUBASI

9. Detection and classification of Diabetic Retinopathy Lesions using deep learning

SIDDHESH SHELKE AND ABDULHAMIT SUBASI

10. Automated detection of colon cancer using deep learning

AAYUSH RAJPUT AND ABDULHAMIT SUBASI

11. Brain hemorrhage detection using computed tomography images and deep learning

ABDULLAH ELEN, AYKUT DIKER AND ABDULHAMIT SUBASI

12. Artificial intelligence-based retinal disease classification using optical coherence tomography images

SOHAN PATNAIK AND ABDULHAMIT SUBASI

13. Diagnosis of breast cancer from histopathological images with deep learning architectures

EMRAH HANCER AND ABDULHAMIT SUBASI

14. Artificial intelligence based Alzheimer’s disease detection using deep feature extraction

MANAV NITIN KAPADNIS, ABHIJIT BHATTACHARYYA AND ABDULHAMIT SUBASI

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