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{ "item_title" : "Medical Images Classification Using Deep Learning", "item_author" : [" Meftahi Z. Hanane "], "item_description" : "Artificial intelligence (AI) is an expanding field of research. Its applications, which concern all human activities, make it possible in particular to improve the quality of healthcare. AI is indeed at the heart of the medicine of the future, with assisted operations, remote patient monitoring, smart prostheses, personalized treatments and diseases diagnosis thanks to the cross-checking of a growing number of data (big data), etc. In this book, you will learn how to do build AI systems for cancer diagnosis by classifying medical images using algorithms from Deep Learning (very modern approach).", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/852/872/9798528724478_b.jpg", "price_data" : { "retail_price" : "15.00", "online_price" : "15.00", "our_price" : "15.00", "club_price" : "15.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Medical Images Classification Using Deep Learning|Meftahi Z. Hanane

Medical Images Classification Using Deep Learning : For Beginners

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Overview

Artificial intelligence (AI) is an expanding field of research. Its applications, which concern all human activities, make it possible in particular to improve the quality of healthcare. AI is indeed at the heart of the medicine of the future, with assisted operations, remote patient monitoring, smart prostheses, personalized treatments and diseases diagnosis thanks to the cross-checking of a growing number of data (big data), etc. In this book, you will learn how to do build AI systems for cancer diagnosis by classifying medical images using algorithms from Deep Learning (very modern approach).

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Details

  • ISBN-13: 9798528724478
  • ISBN-10: 9798528724478
  • Publisher: Independently Published
  • Publish Date: June 2021
  • Dimensions: 11 x 8.5 x 0.18 inches
  • Shipping Weight: 0.5 pounds
  • Page Count: 88

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