Applications of Artificial Intelligence in Medical Imaging

ISBN-13: 9780443184505 / Angielski / Miękka / 2022

Abdulhamit Subasi

Spis treści

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

O autorze

??Abdulhamit Subasi is specialized in Artificial Intelligence, Machine Learning, Biomedical Signal and Image Processing. Concerning the application of machine learning to different fields, he wrote many book chapters and hundreds published journal and conference papers. He is also author of the books, "Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques” and "Practical Machine Learning for Data Analysis Using Python”. He worked at many institutions as an academician and Georgia Institute of Technology, Georgia, USA, as a researcher. He has been awarded with the Queen Effat Award for Excellence in Research, May 2018. He worked as a Professor of computer science at Effat University, Jeddah, Saudi Arabia between 2015 and 2020. Since 2020, he has been working as a Professor of medical physics at Faculty of Medicine, University of Turku, Turku, Finland.?