Artificial Intelligence in Medicine
portes grátis
Artificial Intelligence in Medicine
Stephan, Thompson
Taylor & Francis Ltd
07/2024
252
Dura
9781032438344
15 a 20 dias
Descrição não disponível.
PART 1. Foundations of AI in healthcare, 1. Exploring deep learning approaches for cardiac arrhythmia diagnosis, 2. Neural networks and LDA-based machine learning framework for the early detection of breast cancer, 3. Advanced deep learning algorithms for early ocular disease detection using fundus images, PART 2. Disease detection and diagnosis, 4. A vision transformer-based approach for brain tumor detection, 5. Early detection of skin cancer through human-computer collaboration, 6. Improved mass detection in mammogram images with Dual Tree Complex Wavelet Transform and Fourier Descriptors, 7. A deep learning-based model for early detection of COVID-19 using chest X-ray images, 8. Detection of seizure activity in fMRI images using deep learning techniques, PART 3. Disease prediction and public health, 9. Improving prediction accuracy for neo-adjuvant chemotherapy response in breast cancer through 3D image segmentation and deep learning techniques, 10. A machine learning predictive framework for diabetes management using blood parameters, 11. A combined neuro-fuzzy and Naive Bayes approach for swine flu disease prediction, 12. Enhancing decision-making in maternal public healthcare using a knowledge discovery-based predictive analytics framework, PART 4. Patient care and enhancements, 13. Enhancing patient care and treatment through explainable AI: A gap analysis, 14. Improved medical image captioning for chest X-rays using a hybrid VGG-ELECTRA model, 15. Diagnosing Parkinson's disease using a deep learning model based on electromyography sensors, 16. Enhancing heart disease prediction with Hybridized KNN-MOPSO algorithm
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artificial intelligence;medicine;AI applications;holistic healthcare
PART 1. Foundations of AI in healthcare, 1. Exploring deep learning approaches for cardiac arrhythmia diagnosis, 2. Neural networks and LDA-based machine learning framework for the early detection of breast cancer, 3. Advanced deep learning algorithms for early ocular disease detection using fundus images, PART 2. Disease detection and diagnosis, 4. A vision transformer-based approach for brain tumor detection, 5. Early detection of skin cancer through human-computer collaboration, 6. Improved mass detection in mammogram images with Dual Tree Complex Wavelet Transform and Fourier Descriptors, 7. A deep learning-based model for early detection of COVID-19 using chest X-ray images, 8. Detection of seizure activity in fMRI images using deep learning techniques, PART 3. Disease prediction and public health, 9. Improving prediction accuracy for neo-adjuvant chemotherapy response in breast cancer through 3D image segmentation and deep learning techniques, 10. A machine learning predictive framework for diabetes management using blood parameters, 11. A combined neuro-fuzzy and Naive Bayes approach for swine flu disease prediction, 12. Enhancing decision-making in maternal public healthcare using a knowledge discovery-based predictive analytics framework, PART 4. Patient care and enhancements, 13. Enhancing patient care and treatment through explainable AI: A gap analysis, 14. Improved medical image captioning for chest X-rays using a hybrid VGG-ELECTRA model, 15. Diagnosing Parkinson's disease using a deep learning model based on electromyography sensors, 16. Enhancing heart disease prediction with Hybridized KNN-MOPSO algorithm
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
