Healthcare Industry 4.0

Healthcare Industry 4.0

Computer Vision-Aided Data Analytics

Katina, Polinpapilinho F.; Karthikeyan, P.; Rajagopal, R.

Taylor & Francis Ltd

01/2025

168

Mole

9781032385174

Pré-lançamento - envio 15 a 20 dias após a sua edição

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1. Introduction to Computer Vision Aided Data Analytics in Healthcare Industry 4.0 2. Deep Learning Techniques for Foetal and Infant Data Processing in a Medical Context 3. Analysis of Detecting Brain Tumors Using Deep Learning Algorithms 4. Secured Data Dissemination in a Real-Time Health Care System 5. Modality Classification of Human Emotion 6. COVID-19 Alert Zone Detection Using OpenCV 7. Feature Fusion Model for Heart Disease Diagnosis 8. Deep Learning and Its Applications in Health Care 9. Future of Computer Vision Application in Digital Healthcare 10. Study of Computer Vision Applications in Healthcare Industry 4.0
Deep Learning;Medical Imaging;Augmented Reality;Remote Monitoring;Patient Data;Clinical Data Security;Deep Learning Model;Deep Belief Networks;CV;Dl Algorithm;Computer Vision Technology;Deep Convolutional Neural Networks;GWO;Computer Vision Applications;CNN Model;Computer Vision Systems;RNNs;Deep Learning Techniques;Deep Learning Applications;Feature Extraction;Vice Versa;ECG Signal;GWO Algorithm;EEG Signal;FCM Algorithm;Grey Level Co-occurrence Matrix;Foetal Ultrasound;BCI;Hb Mass;Brain Mri Scan