Machine Learning and Deep Learning Techniques for Medical Image Recognition
暫譯: 醫學影像識別的機器學習與深度學習技術

Soufiene, Ben Othman, Chakraborty, Chinmay

Machine Learning and Deep Learning Techniques for Medical Image Recognition
  • 出版商: CRC
  • 出版日期: 2025-05-27
  • 售價: $2,430
  • 貴賓價: 9.5 折 $2,309
  • 語言: 英文
  • 頁數: 258
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032432217
  • ISBN-13: 9781032432212
  • 相關分類: Machine Learning、DeepLearning

    • 尚未上市，無法訂購

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商品描述

This book comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing. It includes a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining supported by case studies.

商品描述(中文翻譯)

本書全面回顧基於深度學習的醫學影像分析問題中的演算法，包括醫學影像處理。內容詳細回顧了在醫學影像計算中，針對語義物件檢測和分割的深度學習方法，以及透過案例研究支持的大規模放射學資料庫挖掘。

作者簡介

Ben Othman Soufiene was Assistant Professor of computer science at the University of Gabes, Tunisia, from 2016 to 2021. He received his PhD in computer science from Manouba University in 2016 for his dissertation on secure data aggregation in wireless sensor networks. He also earned an MS from Monastir University in 2012. His research interests focus on the Internet of Medical Things, wireless body sensor networks, wireless networks, artificial intelligence, machine learning, and big data.

Chinmay Chakraborty is Assistant Professor in the Department of Electronics and Communication Engineering, BIT Mesra, India, and a Postdoctoral Fellow of the Federal University of Piauí, Brazil. His primary areas of research include wireless body area networks, Internet of Medical Things (IoMT), point-of-care diagnosis, mHealth/e-health, and medical imaging. Chakraborty is the co-editor of many books on Smart IoMT, healthcare technology, and sensor data analytics.

作者簡介(中文翻譯)

Ben Othman Soufiene 於2016年至2021年間擔任突尼西亞加貝斯大學的計算機科學助理教授。他於2016年在馬努巴大學獲得計算機科學博士學位，論文主題為無線感測器網路中的安全數據聚合。他還於2012年在莫納斯提爾大學獲得碩士學位。他的研究興趣集中在醫療物聯網（Internet of Medical Things）、無線人體感測器網路、無線網路、人工智慧、機器學習和大數據等領域。

Chinmay Chakraborty 是印度BIT Mesra電子與通信工程系的助理教授，同時也是巴西皮奧伊聯邦大學的博士後研究員。他的主要研究領域包括無線人體區域網路、醫療物聯網（IoMT）、即時診斷、移動健康/電子健康和醫學影像。Chakraborty 是多本關於智慧醫療物聯網、醫療科技和感測數據分析的書籍的共同編輯。

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