Artificial Intelligence for Innovative Healthcare Informatics
portes grátis
Artificial Intelligence for Innovative Healthcare Informatics
Rashid, Mamoon; Varadarajan, Vijayakumar; Parah, Shabir Ahmad
Springer Nature Switzerland AG
05/2022
327
Dura
Inglês
9783030965686
15 a 20 dias
670
Descrição não disponível.
Section 1: Medical Image Analysis using Artificial Intelligence.- Use of Deep Learning in Biomedical Imaging.-Detection of Breast Cancer Masses in Mammogram Images with Watershed Segmentation and Machine Learning Approach.- Cloud-based Glaucoma Diagnosis in Medical Imaging using Machine Learning.- Leucocytic Cell Nucleus Identification using Boundary Cell Detection algorithm with Dilation and Erosion based Morphometry.- Effective Prediction of Autism Using Ensemble Method.-Section 2: Artificial Intelligence (AI) Classification Models for COVID-19 Pandemic.-Automatic Classification of COVID-19 infected patients using Convolution Neural Network Models.-AI-Based Deep Random Forest Ensemble Model for Prediction of COVID-19 and Pneumonia from Chest X-Ray Images.- Section 3: Use of AI-Enabled IoT in Healthcare.- Internet of Things and Artificial Intelligence in Biomedical Systems.-Role of IoT in Healthcare Sector for Monitoring Diabetic Patients.- Section 4: Applications of Artificial Intelligence in Healthcare.- Low-Rank Representation based approach for subspace segmentation and clustering of biomedical image patterns.-Performance Comparison of Imputation Methods for Heart Disease Prediction.- Ayurnano: A solution towards herbal therapeutics using Artificial Intelligence approach.- Artificial Intelligence in Biomedical Education.- The Emergence of Natural Language Processing (NLP) Techniques in Healthcare AI.- Prospects and Difficulties of Artificial Intelligence (AI) Implementations in Naturopathy.
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Healthcare;Artificial Intelligence;Data Analytics;Medical Images;Biomedical Images;Machine Learning;Deep Learning;Prediction;Classification;Big Data;Medical Image Analytics;Natural Language Processing;Medical Image Privacy;Medical Image Security
Section 1: Medical Image Analysis using Artificial Intelligence.- Use of Deep Learning in Biomedical Imaging.-Detection of Breast Cancer Masses in Mammogram Images with Watershed Segmentation and Machine Learning Approach.- Cloud-based Glaucoma Diagnosis in Medical Imaging using Machine Learning.- Leucocytic Cell Nucleus Identification using Boundary Cell Detection algorithm with Dilation and Erosion based Morphometry.- Effective Prediction of Autism Using Ensemble Method.-Section 2: Artificial Intelligence (AI) Classification Models for COVID-19 Pandemic.-Automatic Classification of COVID-19 infected patients using Convolution Neural Network Models.-AI-Based Deep Random Forest Ensemble Model for Prediction of COVID-19 and Pneumonia from Chest X-Ray Images.- Section 3: Use of AI-Enabled IoT in Healthcare.- Internet of Things and Artificial Intelligence in Biomedical Systems.-Role of IoT in Healthcare Sector for Monitoring Diabetic Patients.- Section 4: Applications of Artificial Intelligence in Healthcare.- Low-Rank Representation based approach for subspace segmentation and clustering of biomedical image patterns.-Performance Comparison of Imputation Methods for Heart Disease Prediction.- Ayurnano: A solution towards herbal therapeutics using Artificial Intelligence approach.- Artificial Intelligence in Biomedical Education.- The Emergence of Natural Language Processing (NLP) Techniques in Healthcare AI.- Prospects and Difficulties of Artificial Intelligence (AI) Implementations in Naturopathy.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
