The book explores advancements in medical system design through the use of recent technologies, particularly artificial intelligence. It analyzes the accuracy of predictions suitable for real-time deployment of these methodologies. The text covers a wide range of prediction and segmentation algorithms based on machine learning and deep learning techniques. These approaches are applied in the analysis of critical diseases, such as mental disorders, diabetic retinopathy, cardiovascular disorders, breast cancer, and many others.
The book explores advancements in medical system design through the use of recent technologies, particularly artificial intelligence. It analyzes the accuracy of predictions suitable for real-time deployment of these methodologies. The text covers a wide range of prediction and segmentation algorithms based on machine learning and deep learning techniques. These approaches are applied in the analysis of critical diseases, such as mental disorders, diabetic retinopathy, cardiovascular disorders, breast cancer, and many others.
Ashish Kumar
Healthcare Smart Devices Prediction Segmentation High-risk surgeries AI in Medical Systems AI techniques in Medical Imaging Datasets for Analysis in Medical System AI for Diagnosis AI in Brain Tumor Prediction AI for Predicting Diabetic Retinopathy