Classification in BioApps

Chapter 1 Medical Imaging and Its Objective Quality Assessment: An Introduction

Chapter 2 A Novel Approach for the Classification of Liver MR Images Using Complex Orthogonal Ripplet-II and Wavelet-Based Transforms

Chapter 3 ECG Based Myocardial Infarction Detection Using Different Classification Techniques

Chapter 4 Classification and Decision Making of Medical Infrared Thermal Images

Chapter 5 Evaluating the Efficacy of Gabor Features in the Discrimination of Breast Density Patterns Using Various Classifiers

Chapter 6 Machine Learning-Based State-of-the-Art Methods for the Classification of RNA-Seq Data

Chapter 7 Two-Step Verifications for Multi-instance Features Selection: A Machine Learning Approach

Chapter 8 Machine Learning Based Plant Leaf Disease Detection and Severity Assessment Techniques: State-of-the-Art

Chapter 9 Crop Disease Protection Using Parallel Machine Learning Approaches

Chapter 10 Computer Aided Diagnosis in Ophthalmology: Deep Learning Applications

Chapter 11 Advanced Computational Intelligence Techniques Based Computer Aided Diagnosis System for Cervical Cancer Detection Using Pap Smear Images

Chapter 12 Deep Learning for Medical Image Processing: Overview, Challenges and the Future

Chapter 13 On the Fly Segmentation of Intravascular Ultrasound Images Powered by Learning of Backscattering Physics

Chapter 14 ECG Signal Dimensionality Reduction-Based Atrial Fibrillation Detection

Chapter 15 A Bio-application for Accident Victim Identification Using Biometrics