Advances in deep learning for medical image analysis. (2022)

• Record Type: Book
• Further Information: Note: Edited by Archana Mire, Vinayak Elangovan, Shailaja Patil.
• Editors: Mire, Archana; Elangovan, Vinayak; Patil, Shailaja
• Contents: 1. ANFIS BASED CARDIAC ARRHYTHMIA CLASSIFICATION 2. TWO-STAGE DEEP LEARNING ARCHITECTURE FOR CHEST X-RAY BASED COVID-19 PREDICTION 3. WHITE BLOOD CELLS CLASSIFICATION USING CONVENTIONAL AND DEEP LEARNING TECHNIQUES: A COMPARATIVE STUDY 4. COMPARISON AND PERFORMANCE EVALUATION USING CONVOLUTION NEURAL NETWORK BASED DEEP LEARNING MODELS FOR SKIN CANCER IMAGE CLASSIFICATION 5. A REVIEW ON BREAST CANCER DETECTION USING DEEP LEARNING TECHNIQUES 6. ARTIFICIAL INTELLIGENCE & MACHINE LEARNING: A SMART SCIENCE APPROACH FOR CANCER CONTROL 7. DETECTION OF DIABETIC FOOT ULCER USING MACHINE/ DEEP LEARNING 8. REVIEW ON DEEP LEARNING TECHNIQUES FOR PROGNOSIS AND MONITORING OF DIABETES MELLITUS
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2022
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 616.07540285631; Diagnostic imaging; Image analysis; Deep learning (Machine learning)
• Languages: English
• ISBNs: 9781000575996; 9781000575958; 9781003230540
• Related ISBNs: 9781032137162
• 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.