Computer Vision in Healthcare

Preface. Transforming Healthcare with Computer Vision: Exploring Applications, Challenges, and Future Directions. Challenges and Future Directions in Computer Vision for Healthcare. HealthChain: Leveraging Blockchain for Scalable, Secure and Privacy-Preserving Healthcare Data Management. Fuzzy Multiset Based Decision Making Approaches and their Applications in Healthcare System. Adaptive Multi-Scale Feature Enhancement Algorithm for Improved Photoacoustic Imaging in Clinical Applications. Computer Vision-Based Pneumonia Diagnosis using Convolutional Neural Networks and Pretrained Models. Multi Modal Diagnostic Optimizer an Advanced Algorithm for Breast Cancer Detection using Thermographic Imaging. Enhancing Early Detection of Gestational-Pediatric Cardiovascular Diseases: A Novel Deep Learning-Based Approach. A Novel Artificial Intelligence Driven Adaptive Acoustic Profiling Technique for Noninvasive Cardiovascular Diagnostics. A Nonlinear SVM in Cardiovascular Diagnostics: Disentangling Myocardial Infarction with 2D Data Analysis. Revolutionizing Heart Disease Detection: Integrating Extended Whale Optimization with LSTM-Enhanced CNN For Advanced AI-Driven Diagnostics. Real-Time Prediction of Sepsis in ICU Patients with Long Short-Term Memory (LSTM) Networks. Real-Time Detection of Epileptic Seizures using a Hybrid Deep Learning Framework with Temporal CNN and BiLSTM. Development of a Real-Time Deep Learning-Based System for Automated Detection and Classification of Diabetic Retinopathy in Fundus Images. Deep Scan Imaging using Voxel Morph for High-Resolution Tissue Mapping and Quantitative Analys for Multimodal Medical Image Analysis and Disease Classification. Hybrid Convolutional Transformer Network (HCTNet) for Real-Time 4D Medical Imaging and Enhanced Early Disease Detection. Blockchain-Based Predictive Treatment by Enhancing Secure and Reliable Telemedicine in the Metaverse. Index.