menu
{ "item_title" : "Frontiers of Artificial Intelligence in Medical Imaging", "item_author" : [" Navid Razmjooy", "V. Rajinikanth "], "item_description" : "This book is designed to consider the recent advancements in hospitals to diagnose various diseases accurately using AI-supported detection procedures. This work examines recent AI-supported disease detection techniques from prominent researchers and clinicians working in the medical imaging processing domain. Within this book, the integration of various AI methods, such as soft computing, machine learning, deep learning, and other related works will be presented. Real clinical images utilizing AI are incorporated. The book also includes several chapters on machine learning, convoluted neural networks, segmentation, and deep learning-assisted two-class and multi-class classification.Key Features: Implementation of machine-learning-assisted disease detectionImplementation of CNN (Convolutional Neural Networks) based medical image segmentation and assessmentImplementation of deep-learning-based medical data assessmentHybridizing machine learning and deep learning features to enhance detection accuracy", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/0/75/034/010/075034010X_b.jpg", "price_data" : { "retail_price" : "190.00", "online_price" : "190.00", "our_price" : "190.00", "club_price" : "190.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Frontiers of Artificial Intelligence in Medical Imaging|Navid Razmjooy

Frontiers of Artificial Intelligence in Medical Imaging

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

Overview

This book is designed to consider the recent advancements in hospitals to diagnose various diseases accurately using AI-supported detection procedures. This work examines recent AI-supported disease detection techniques from prominent researchers and clinicians working in the medical imaging processing domain. Within this book, the integration of various AI methods, such as soft computing, machine learning, deep learning, and other related works will be presented. Real clinical images utilizing AI are incorporated. The book also includes several chapters on machine learning, convoluted neural networks, segmentation, and deep learning-assisted two-class and multi-class classification.

Key Features:

  • Implementation of machine-learning-assisted disease detection
  • Implementation of CNN (Convolutional Neural Networks) based medical image segmentation and assessment
  • Implementation of deep-learning-based medical data assessment
  • Hybridizing machine learning and deep learning features to enhance detection accuracy

This item is Non-Returnable

Details

  • ISBN-13: 9780750340106
  • ISBN-10: 075034010X
  • Publisher: Institute of Physics Publishing
  • Publish Date: December 2022
  • Dimensions: 10 x 7 x 0.63 inches
  • Shipping Weight: 1.44 pounds
  • Page Count: 300

Related Categories

You May Also Like...

    1

BAM Customer Reviews