Advances in Computational Techniques for Biomedical Image Analysis

<p>SECTION I OVERVIEW<br>1. Computational techniques in biomedical image analysis: overview</p> <p>SECTION II IMAGE PREPROCESSING AND SEGMENTATION TECHNIQUES<br>2. Multimodal medical image fusion using deep learning<br>3. Medical image fusion framework for neuro brain analysis<br>4. Automated detection of intracranial hemorrhage in noncontrast head computed tomography<br>5. Segmentation techniques for the diagnosis of intervertebral disc diseases</p> <p>SECTION III MEDICAL IMAGE CLASSIFICATION AND ANALYSIS<br>6. Heartbeat sound classification using Melfrequency cepstral coefficients and deep convolutional neural network<br>7. Comparative analysis of classification techniques for brain magnetic resonance imaging images<br>8. Hybrid feature selection-based feature fusion for liver disease classification on ultrasound images</p> <p>SECTION IV BIOMEDICAL IMAGE COMPRESSION AND TRANSMISSION<br>9. Discrete cosine transform<br>10. Segmentation-based compression techniques for medical images<br>11. Systematic survey of compression algorithms in medical imaging</p> <p>SECTION V BIOMEDICAL IMAGE SECURITY<br>12. Multilevel medical image encryption for secure communication<br>13. A modified digital signature algorithm to improve the biomedical image integrity in cloud environment<br>14. Medical imaging security and forensics: a systematic literature review<br></p>