Edizione | [First edition.] |
Pubbl/distr/stampa |
Cham, Switzerland : , : Springer, , [2023]
|
Descrizione fisica |
1 online resource (240 pages)
|
Disciplina |
610.285
|
Soggetto topico |
Artificial intelligence - Medical applications
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ISBN |
3-031-38036-3
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Formato |
Materiale a stampa ![](img/format/mas.png) |
Livello bibliografico |
Monografia |
Lingua di pubblicazione |
eng
|
Nota di contenuto |
Foreword -- Preface -- Acknowledgement -- Table of Contents -- Chapter 1: -- Automatic Fetal Motion Detection from Trajectory of US Videos Based on YOLOv5 and LSTM -- Chapter 2: -- Explainable Machine Learning (XML) for Multimedia-based Healthcare Systems: Opportunities, Challenges, Ethical and Future Prospects -- Chapter 3: -- Ensemble deep learning architectures in bone cancer detection based on Medical Diagnosis in Explainable Artificial Intelligence -- Chapter 4: -- Digital dermatitis disease classification utilizing visual feature extraction and various machine learning techniques by explainable AI -- Chapter 5: -- Explainable Machine Learning in Healthcare -- Chapter 6: -- Explainable Artificial Intelligence with Scaling Techniques to Classify Breast Cancer Images -- Chapter 7: -- A Novel Approach of COVID -19 Estimation Using GIS and Kmeans Clustering: A Case of GEOAI -- Chapter 8: -- A Brief Review of Explainable Artificial Intelligence Reviews and Methods -- Chapter 9: -- Systematic Literature Review In Using Big Data Analytics And XAI Applications In Medical -- Chapter 10: -- Using Explainable Artificial Intelligence In Drug Discovery: A Theoretical Research -- Chapter 11: -- Application of Interpretable Artificial Intelligence enabled Cognitive Internet of Things for COVID-19 Pandemics -- Chapter 12: -- Remote Photoplethysmography: Digital Disruption in Health Vital Acquisition.
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Record Nr. | UNINA-9910746085003321 |