Hybrid Machine Intelligence for Medical Image Analysis
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Overview
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.
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Details
- ISBN-13: 9789811389290
- ISBN-10: 9811389292
- Publisher: Springer
- Publish Date: August 2019
- Dimensions: 9.21 x 6.14 x 0.75 inches
- Shipping Weight: 1.35 pounds
- Page Count: 293
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