Hybrid machine intelligence for medical image analysis. (2020)

• Record Type: Book
• Further Information: Note: Siddhartha Bhattacharyya, Debanjan Konar, Jan Platos, Chinmoy Kar, Kalpana Sharma, editors.
• Editors: Bhattacharyya, Siddhartha, 1975-; Konar, Debanjan; Platos, Jan; Kar, Chinmoy; (Head of Computer Science and Engineering), Sharma, Kalpana
• Contents: Preface.- Introduction.- Brain Tumor Segmentation from T1 Weighted MRI Images Using Rough Set Reduct and Quantum Inspired Particle Swarm Optimization.- Automated Region of Interest detection of Magnetic Resonance (MR) images by Center of Gravity (CoG).- Brain tumors detection through low level features detection and rotation estimation.- Automatic MRI Image Segmentation for Brain tumors detection using Multilevel Sigmoid Activation (MUSIG) function.- Automatic Segmentation of pulmonary nodules in CT Images for Lung Cancer detection using self-supervised Neural Network Architecture.- A Hierarchical Fused Fuzzy Deep Neural Network for MRI Image Segmentation and Brain Tumor Classification.- Computer Aided Detection of Mammographic Lesions using Convolutional Neural Network (CNN).- Conclusion.
• Publisher Details: Singapore : Springer
• Publication Date: 2020
• Extent: 1 online resource (xvi, 293 pages), illustrations (some color)
• Subjects: 006.3/1; Machine learning; Computational intelligence; Electronic books
• Languages: English
• ISBNs: 9789811389306; 9811389306
• Related ISBNs: 9789811389290
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed August 29, 2019).
• 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.