menu
{ "item_title" : "Artificial Intelligence for Innovative Healthcare Informatics", "item_author" : [" Shabir Ahmad Parah", "Mamoon Rashid", "Vijayakumar Varadarajan "], "item_description" : "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", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/096/568/3030965686_b.jpg", "price_data" : { "retail_price" : "179.99", "online_price" : "179.99", "our_price" : "179.99", "club_price" : "179.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Artificial Intelligence for Innovative Healthcare Informatics|Shabir Ahmad Parah

Artificial Intelligence for Innovative Healthcare Informatics

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

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

This item is Non-Returnable

Details

  • ISBN-13: 9783030965686
  • ISBN-10: 3030965686
  • Publisher: Springer
  • Publish Date: May 2022
  • Dimensions: 9.21 x 6.14 x 0.75 inches
  • Shipping Weight: 1.42 pounds
  • Page Count: 327

Related Categories

You May Also Like...

    1

BAM Customer Reviews