Artificial Intelligence in Healthcare and Medicine

Artificial Intelligence in Healthcare and Medicine

Soroushmehr, Reza; Dominguez, Enrique; Kahrobaei, Delaram; Najarian, Kayvan

Taylor & Francis Ltd

07/2024

286

Mole

9780367638405

15 a 20 dias

Descrição não disponível.
1. Machine learning for disease classification: A perspective. 2. A review of automatic cardiac segmentation using deep learning and deformable models. 3. Advances in artificial intelligence applied to heart failure. 4. A Combination of Dilated Adversarial Convolutional Neural Network and Guided Active Contour Model for Left Ventricle Segmentation. 5. Automated methods for vessel segmentation in X-ray coronary angiography and geometric modeling of coronary angiographic image sequences: a survey. 6. Super-Resolution of 3D Magnetic Resonance Images of the Brain. 7. Head CT analysis for intracranial hemorrhage segmentation. 8. Wound Tissue Classification with Convolutional Neural Networks. 9. Artificial Intelligence Methodologies in Dentistry. 10. Literature Review of Computer Tools for the Visually Impaired: A Focus on Search Engines. 11. Tensor methods for clinical informatics.
SVM Classifier;Private and secure data mining over medical data;Deep Learning Models;Deep learning for medicine and health;Deformable Model;Biomedical signal processing;Convolutional Layer;Biomedical image processing;Automatic Segmentation;Computational biology;Ml Model;Bioengineering;Hr Image;Biocomputing;Mri Slice;Bioinformatics;LR Image;Machine Learning;Anatomical ROI;Artificial Intelligence;Epicardial Contours;Tucker Decomposition;Endocardial Contours;Adversarial Network;Final Segmented Image;Displacement Vector;Vessel Segmentation;Convolutional Filters;Robust PCA;Tensor Decompositions;Clinical Informatics;Dice Score;CMR Image;LV Mass;CBCT Scan