Del i serien Artificial Intelligence Applications in Healthcare and Medicine

Applications of Artificial Intelligence in Medical Imaging

Häftad, Engelska, 2022

AvAbdulhamit Subasi,Saudi Arabia) Subasi, Abdulhamit (Institute of Biomedicine, Faculty of Medicine, University of Turku, Turku, Finland Department of Computer Science, College of Engineering, Effat University, Jeddah

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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.

Discusses new deep learning algorithms for image analysis and how they are used for medical images
Provides several examples for each imaging technique, along with their application areas so that readers can rely on them as a clinical decision support system
Describes how new AI tools may contribute significantly to the successful enhancement of a single patient's clinical knowledge to improve treatment outcomes

Produktinformation

Utgivningsdatum2022-11-11
Mått191 x 235 x 26 mm
Vikt770 g
FormatHäftad
SpråkEngelska
SerieArtificial Intelligence Applications in Healthcare and Medicine
Antal sidor380
FörlagElsevier Science
ISBN9780443184505

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Biovetenskap inom Naturvetenskap och teknik

Abdulhamit Subasi is a highly specialized expert in the fields of Artificial Intelligence, Machine Learning, and Biomedical Signal and Image Analysis and Security. 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.

1. Introduction to artificial intelligence techniques for medical image analysis ABDULHAMIT SUBASI2. Lung cancer detection from histopathological lung tissue images using deep learningAAYUSH RAJPUT AND ABDULHAMIT SUBASI3. Magnetic resonance imagining-based automated brain tumor detection using deep learning techniquesABHRANTA PANIGRAHI AND ABDULHAMIT SUBASI4. Breast cancer detection from mammograms using artificial intelligenceABDULHAMIT SUBASI, AAYUSH DINESH KANDPAL, KOLLA ANANT RAJ AND ULAS BAGCI5. Breast tumor detection in ultrasound images using artificial intelligenceOMKAR MODI AND ABDULHAMIT SUBASI6. Artificial intelligence-based skin cancer diagnosisABDULHAMIT SUBASI AND SAQIB AHMED QURESHI7. Brain stroke detection from computed tomography images using deep learning algorithmsAYKUT DIKER, ABDULLAH ELEN AND ABDULHAMIT SUBASI8. A deep learning approach for COVID-19 detection from computed tomography scansASHUTOSH VARSHNEY AND ABDULHAMIT SUBASI9. Detection and classification of Diabetic Retinopathy Lesions using deep learningSIDDHESH SHELKE AND ABDULHAMIT SUBASI10. Automated detection of colon cancer using deep learning AAYUSH RAJPUT AND ABDULHAMIT SUBASI11. Brain hemorrhage detection using computed tomography images and deep learningABDULLAH ELEN, AYKUT DIKER AND ABDULHAMIT SUBASI12. Artificial intelligence-based retinal disease classification using optical coherence tomography images SOHAN PATNAIK AND ABDULHAMIT SUBASI13. Diagnosis of breast cancer from histopathological images with deep learning architecturesEMRAH HANCER AND ABDULHAMIT SUBASI14. Artificial intelligence based Alzheimer’s disease detection using deep feature extractionMANAV NITIN KAPADNIS, ABHIJIT BHATTACHARYYA AND ABDULHAMIT SUBASI