Deep Learning Models for Medical Imaging (Paperback)
暫譯: 醫學影像的深度學習模型 (平裝本)

Santosh, Kc, Das, Nibaran, Ghosh, Swarnendu

Deep Learning Models for Medical Imaging (Paperback)
  • 出版商: Academic Press
  • 出版日期: 2021-09-08
  • 售價: $3,500
  • 貴賓價: 9.5 折 $3,325
  • 語言: 英文
  • 頁數: 172
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0128235047
  • ISBN-13: 9780128235041
  • 相關分類: DeepLearning

    • 立即出貨 (庫存=1)

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商品描述

Deep Learning Models for Medical Imaging explains the concepts of Deep Learning (DL) and its importance in medical imaging and/or healthcare using two different case studies: a) cytology image analysis and b) coronavirus (COVID-19) prediction, screening, and decision-making, using publicly available datasets in their respective experiments. Of many DL models, custom Convolutional Neural Network (CNN), ResNet, InceptionNet and DenseNet are used. The results follow 'with' and 'without' transfer learning (including different optimization solutions), in addition to the use of data augmentation and ensemble networks. DL models for medical imaging are suitable for a wide range of readers starting from early career research scholars, professors/scientists to industrialists.

商品描述(中文翻譯)

醫學影像的深度學習模型解釋了深度學習（Deep Learning, DL）的概念及其在醫學影像和/或醫療保健中的重要性，並使用兩個不同的案例研究：a) 細胞學影像分析和 b) 冠狀病毒（COVID-19）預測、篩檢和決策，這些案例使用了各自實驗中的公開數據集。在眾多的深度學習模型中，使用了自定義的卷積神經網絡（Convolutional Neural Network, CNN）、ResNet、InceptionNet 和 DenseNet。結果展示了「有」和「無」轉移學習的情況（包括不同的優化解決方案），此外還使用了數據增強和集成網絡。醫學影像的深度學習模型適合從早期職業研究學者、教授/科學家到產業界人士的廣泛讀者群。

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