- ホーム
- > 洋書
- > 英文書
- > Computer / General
Full Description
This book offers a comprehensive and insightful exploration of biomarker discovery and electro-chemical signaling pathways in brain and cardio-oncology. The integration of these two fields—focusing on organs where electro-chemical signaling plays a crucial yet distinct role—sets this work apart from existing literature. The brain's complex chemical signaling and the heart's electrical communication pathways are examined side by side, providing readers with a unique perspective that may yield new insights into the general field of electro-chemical biomarker discovery. Volume 1 of the book lays a solid foundation by thoroughly covering the fundamentals of oncology and biomarker science. Volume 2 builds on this by offering essential foundational information on biomarker discovery, particularly in oncology.
Contents
A Comprehensive Study of Machine Learning and Deep Learning Methods for Medical Brain Imaging.- A Systematic Review of Brain Tumor Classification from MRI Scans through the Last Decade.- Comparative Analysis of Logistic Regression, Random Forest, XGBoost, LightGBM, and Voting Classifier for Early Stroke Detection.- Machine Learning and Deep Learning for Multi-Omics and Signal-Based Biomarker Discovery in Cardio-Brain Oncology: A Comprehensive Survey.- Intelligent Brain Tumor Detection System Based on YOLOv8 Deep Learning Model.- Spatial Transcriptomic Deep Learning and Gene-Based Machine Learning for SLE Diagnosis: A Comparative Analysis.- CANCER SIGNALING PATHWAYS AND CANCER BIOLOGY.- Computational Detection of Pigmented Skin Cancer Using Machine Learning Techniques.- The Efficacy of Internet of Medical Things (IoMT) and Cloud-Fog Computing in Monitoring Neuro-Oncology Patients: A Systematic Literature Review.- Alzheimer's Disease Progression Prediction with Machine Learning.- Deciphering TP53-Mediated Pathways in Cancer Through Protein Interaction Analysis.- Accurate and Early Detection of Dysarthria Using a Multimodal Deep Learning Methodology.-Advancing Lung Cancer Detection Using Optimized Fine Tuning Data-Efficient Image Transformers.
