Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing

Herausgeber: Raja, Rohit; Rani, Shilpa; Kumar, Sandeep

• Gebundenes Buch

Produktbeschreibung

Medical image fusion is a process which merges information from multiple images of the same scene. The fused image provides appended information that can be utilized for more precise localization of abnormalities. The use of medical image processing databases will help to create and develop more accurate and diagnostic tools.

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Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 196
• Erscheinungstermin: 23. Dezember 2020
• Englisch
• Abmessung: 239mm x 155mm x 18mm
• Gewicht: 431g
• ISBN-13: 9780367374358
• ISBN-10: 0367374358
• Artikelnr.: 60353351

Autorenporträt

Rohit Raja, Sandeep Kumar, Shilpa Rani, K. Ramya Laxmi

Inhaltsangabe

1. An Introduction to Medical Image Analysis in 3D 2. Automated Epilepsy
Seizure Detection from EEG Signals Using Deep CNN Model 3. Medical Image
De-Noising Using Combined Bayes Shrink and Total Variation Techniques 4.
Detection of Nodule and Lung Segmentation Using Local Gabor XOR Pattern in
CT Images 5. Medical Image Fusion Using Adaptive Neuro Fuzzy Inference
System 6. Medical Imaging in Healthcare Applications 7. Classi¿cation of
Diabetic Retinopathy by Applying an Ensemble of Architectures 8.
Compression of Clinical Images Using Different Wavelet Function 9.
PSO-Based Optimized Machine Learning Algorithms for the Prediction of
Alzheimer's Disease 10. Parkinson's Disease Detection Using Voice
Measurements 11. Speech Impairment Using Hybrid Model of Machine Learning
12. Advanced Ensemble Machine Learning Model for Balanced BioAssays 13.
Lung Segmentation and Nodule Detection in 3D Medical Images Using
Convolution Neural Network