E-Book, Englisch, Band 841, 293 Seiten, eBook
Bhattacharyya / Konar / Platos Hybrid Machine Intelligence for Medical Image Analysis
Erscheinungsjahr 2019
ISBN: 978-981-13-8930-6
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, Band 841, 293 Seiten, eBook
Reihe: Studies in Computational Intelligence
ISBN: 978-981-13-8930-6
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.