menu
{ "item_title" : "Computational Retinal Image Analysis", "item_author" : [" Emanuele Trucco", "Tom Macgillivray", "Yanwu Xu "], "item_description" : "Computational Retinal Image Analysis: Tools, Applications and Perspectives gives an overview of contemporary retinal image analysis (RIA) in the context of healthcare informatics and artificial intelligence. Specifically, it provides a history of the field, the clinical motivation for RIA, technical foundations (image acquisition modalities, instruments), computational techniques for essential operations, lesion detection (e.g. optic disc in glaucoma, microaneurysms in diabetes) and validation, as well as insights into current investigations drawing from artificial intelligence and big data. This comprehensive reference is ideal for researchers and graduate students in retinal image analysis, computational ophthalmology, artificial intelligence, biomedical engineering, health informatics, and more.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/0/08/102/816/0081028164_b.jpg", "price_data" : { "retail_price" : "165.00", "online_price" : "165.00", "our_price" : "165.00", "club_price" : "165.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Computational Retinal Image Analysis|Emanuele Trucco

Computational Retinal Image Analysis : Tools, Applications and Perspectives

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

Overview

Computational Retinal Image Analysis: Tools, Applications and Perspectives gives an overview of contemporary retinal image analysis (RIA) in the context of healthcare informatics and artificial intelligence. Specifically, it provides a history of the field, the clinical motivation for RIA, technical foundations (image acquisition modalities, instruments), computational techniques for essential operations, lesion detection (e.g. optic disc in glaucoma, microaneurysms in diabetes) and validation, as well as insights into current investigations drawing from artificial intelligence and big data. This comprehensive reference is ideal for researchers and graduate students in retinal image analysis, computational ophthalmology, artificial intelligence, biomedical engineering, health informatics, and more.

This item is Non-Returnable

Details

  • ISBN-13: 9780081028162
  • ISBN-10: 0081028164
  • Publisher: Academic Press
  • Publish Date: November 2019
  • Dimensions: 9.25 x 7.5 x 1.01 inches
  • Shipping Weight: 1.89 pounds
  • Page Count: 502

Related Categories

You May Also Like...

    1

BAM Customer Reviews