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{ "item_title" : "Recent Advances in Ai-Enabled Automated Medical Diagnosis", "item_author" : [" Richard Jiang", "Li Zhang", "Hua-Liang Wei "], "item_description" : "Developments in deep learning in the past decade have led to phenomenal growth in AI-based automated medical diagnosis, opening a door to a new era of both medical research and medical industry. It is a golden age for researchers involved in the development and application of advanced machine learning techniques for medical and clinical problems. This book captures the most recent important advances in this cross-disciplinary topic and brings the latest advances to a wide audience including experts, researchers, students, industry developers and medical services.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/03/200/843/1032008431_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" : "" } }
Recent Advances in Ai-Enabled Automated Medical Diagnosis|Richard Jiang

Recent Advances in Ai-Enabled Automated Medical Diagnosis

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Overview

Developments in deep learning in the past decade have led to phenomenal growth in AI-based automated medical diagnosis, opening a door to a new era of both medical research and medical industry. It is a golden age for researchers involved in the development and application of advanced machine learning techniques for medical and clinical problems. This book captures the most recent important advances in this cross-disciplinary topic and brings the latest advances to a wide audience including experts, researchers, students, industry developers and medical services.

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Details

  • ISBN-13: 9781032008431
  • ISBN-10: 1032008431
  • Publisher: CRC Press
  • Publish Date: October 2022
  • Dimensions: 9.21 x 6.14 x 0.88 inches
  • Shipping Weight: 1.53 pounds
  • Page Count: 364

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