Hybrid machine intelligence for medical image analysis

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 f...

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Weitere Verfasser:	Bhattacharyya, Siddhartha (HerausgeberIn), Konar, Debanjan (HerausgeberIn), Platos, Jan (HerausgeberIn), Kar, Chinmoy (HerausgeberIn), Sharma, Kalpana (HerausgeberIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	Singapore Springer Nature 2020
Schriftenreihe:	Studies in computational intelligence Volume 841
Schlagworte:	Artificial intelligence > Computer vision > Optical pattern recognition > Signal, Image and Speech Processing > Aufsatzsammlung
Online Zugang:	Inhaltsverzeichnis Inhaltstext
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Beschreibung
Zusammenfassung:	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 The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered include automated region of interest detection of magnetic resonance images based on center of gravity; brain tumor detection through low-level features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer-aided detection of mammographic lesions using convolutional neural networks
Beschreibung:	XVI, 293 Seiten Illustrationen
ISBN:	9789811389290 978-981-13-8929-0