Frontiers of artificial intelligence in medical imaging. (2022)

• Record Type: Book
• Further Information: Note: Edited by Navid Razmjooy, V. Rajinikanth.
• Editors: Razmjooy, Navid, 1987-; Rajinikanth, Venkatesan
• Contents: Preface; Acknowledgment; Editor Biography; List of Contributors; 1 Health informatics system; 2 Medical-imaging-supported disease diagnosis; 3 Traditional and AI-based data enhancement; 4 Computer-aided-scheme for automatic classification of brain MRI slices into normal/Alzheimer’s disease5 Design of a system for melanoma diagnosis using image processing and hybrid optimization techniques 6 Evaluation of COVID-19 lesion from CT scan slices: a study using entropy-based thresholding and DRLS segmentation 7 Automated classification of brain tumors into LGG/HGGusing concatenated deep and handcrafted features 8 Detection of brain tumors in MRI slices using traditionalfeatures with AI scheme: a study; 9 Framework to classify EEG signals into normal/schizophrenic classes with machine-learning scheme; 10 Computerized classification of multichannel EEG signals intonormal/autistic classes using image-to-signal transformation
• Publisher Details: Bristol : IOP Publishing
• Publication Date: 2022
• Extent: 1 online resource, illustrations (black and white, and colour)
• Subjects: 616.0754; Diagnostic imaging -- Digital techniques; Artificial intelligence -- Medical applications
• Languages: English
• ISBNs: 9780750340120; 9780750340113
• Related ISBNs: 9780750340106
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.