Computational Intelligence for Oncology and Neurological Disorders

Chapter 1: Advancements in AI for Mental Health: Exploring ASD, ADHD and Schizophrenia, Video Datasets, and Future Directions. Chapter 2: Blockchain Applications in Neurological Disorders and Oncology. Chapter 3: Deep Scattering Wavelet Network and Marine Predators Algorithm-Based Stuttering Disfluency Detection. Chapter 4: AI in Neurological Disorders : A Systematic Review. Chapter 5: Malformation Risk Prediction with Machine Learning Modelling for Pregnant Women with Epilepsy. Chapter 6: The Computational Techniques in Mutational Disease Prediction: A Comprehensive and Comparative Review. Chapter 7: Comparative Analysis of U-Net and DeepLab for Accurate Brain MRI Segmentation. Chapter 8: A Comprehensive Review on Depression Detection Based on Text from Social Media Posts. Chapter 9: Artificial Intelligence in Radiation Oncology. Chapter 10: A Comprehensive Overview of AI Applications in Radiation Oncology. Chapter 11: Melanoma Skin Cancer Identification on Embedded Devices Using Digital Hair Removal and Transfer Learning. Chapter 12: A Deep Hybrid System for Effective Diagnosis of Breast Cancer. Chapter 13: Identification of Brain Cancer Using Medical Hyperspectral Image Analysis. Chapter 14: An Efficient Deep CNN-Based AML Detection: Overcoming Small Database Limitations in Medical Applications. Chapter 15: Effective Use of Computational Biology and Artificial Intelligence in the Domain of Medical Oncology. Chapter 16: A Computer Aided Ensemble Method for Early and Accurate Detection of Coronary Artery Disease

Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.

• Neurologia e neurofisiologia clínica
• Oncologia
• Inteligência artificial

cognition;Neurodegeneration;cancer;diagnosis;prognosis;therapeutics;algorithms;IoT;blockchain;deep learning