Image Analysis for Segmentation and Classification of Blood Cells from Images of Peripheral Blood Smears
暫譯: 從外周血塗片影像進行血細胞的分割與分類之影像分析

Hegde, Roopa B., Prabhu, Swathi, Prasad, Keerthana

Image Analysis for Segmentation and Classification of Blood Cells from Images of Peripheral Blood Smears
  • 出版商: CRC
  • 出版日期: 2026-10-05
  • 售價: $8,070
  • 貴賓價: 9.5 折 $7,666
  • 語言: 英文
  • 頁數: 138
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041102151
  • ISBN-13: 9781041102151
  • 相關分類: 影像辨識 Image-recognition

    • 尚未上市，無法訂購

相關主題

商品描述

Peripheral blood smear (PBS) analysis is a critical diagnostic tool for diseases including malaria, leukemia, and cancer. This monograph addresses the key challenges associated with image analysis of PBS images and highlights innovative systems that automate the identification of specific pathologies.

It reviews state-of-the-art algorithms for segmentation, color representation and normalization, image enhancement and restoration, and volume visualization, as well as relevant AI and machine learning techniques. The book also explains automated systems and workflows developed to address specific disease classes, supported by detailed case studies.

Key Features:

- Covers fundamental and advanced aspects of image analysis in the hematological field

- Focuses on blood cell segmentation and classification, along with practical guidelines for implementation

- Explores current challenges in integrating these technologies into real-world clinical settings

- Discusses ethical considerations and challenges associated with automation in medical diagnosis

- Includes relevant MATLAB and Python code, along with case studies on the segmentation of erythrocytes (RBCs) and leukocytes (WBCs)

This book is aimed at graduate students and researchers in bioengineering and image processing, as well as clinicians.

商品描述(中文翻譯)

外周血塗片（PBS）分析是診斷包括瘧疾、白血病和癌症等疾病的重要工具。本專著探討了與PBS影像分析相關的主要挑戰，並突顯了自動化識別特定病理的創新系統。

本書回顧了最先進的演算法，包括分割、顏色表示和正規化、影像增強和修復，以及體積可視化，還有相關的人工智慧（AI）和機器學習技術。書中還解釋了為解決特定疾病類別而開發的自動化系統和工作流程，並附有詳細的案例研究。

主要特色：
- 涵蓋血液學領域影像分析的基本和進階方面
- 專注於血細胞的分割和分類，並提供實施的實用指導
- 探討將這些技術整合到現實臨床環境中的當前挑戰
- 討論與醫療診斷自動化相關的倫理考量和挑戰
- 包含相關的MATLAB和Python程式碼，以及紅血球（RBCs）和白血球（WBCs）分割的案例研究

本書適合生物工程和影像處理的研究生及研究人員，以及臨床醫師。

作者簡介

Roopa B. Hegde is an associate professor in the Department of Electronics and Communication Engineering, NMAM Institute of Technology, Udupi, India. She has published more than 30 articles in peer-reviewed journals with an H-index of 9. She has to her credit, two patents granted and four applications pending examination. She has won best paper award and the healthcare innovation hackathon. Her areas of interest include signal processing, image processing, pattern recognition, artificial intelligence, and machine learning.

Swathi Prabhu is an assistant professor in the Department of Information and Communication Technology at Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India. She has published several articles in peer-reviewed journals and has an H-index of 5. Her areas of interest include medical image processing, artificial intelligence, machine learning, and deep learning.

Keerthana Prasad is a professor and director of the Manipal School of Information Sciences, Manipal. With a keen interest in application of technology in medicine, she has worked very closely with many medical researchers in India and abroad, mostly on computer aided diagnostic applications. She has to her credit, four patents granted and six patent applications pending examination in India. She has developed many in-house analysis tools for medical researchers of the university. She has won many awards including the Rural Innovation award, Innovation Day award at Philips, IDF Innovation award and best paper award. She has published about 75 research papers in indexed international journals and has an H-index of 20.

作者簡介(中文翻譯)

Roopa B. Hegde 是印度烏杜比 NMAM 科技學院電子與通信工程系的副教授。她在同行評審的期刊上發表了超過 30 篇文章，H-index 為 9。她擁有兩項已授權的專利和四項待審查的專利申請。她曾獲得最佳論文獎和醫療創新黑客松獎。她的研究興趣包括信號處理、影像處理、模式識別、人工智慧和機器學習。

Swathi Prabhu 是印度馬尼帕爾高等教育學院馬尼帕爾科技學院信息與通信技術系的助理教授。她在同行評審的期刊上發表了幾篇文章，H-index 為 5。她的研究興趣包括醫療影像處理、人工智慧、機器學習和深度學習。

Keerthana Prasad 是馬尼帕爾信息科學學院的教授及主任。她對技術在醫學中的應用有濃厚的興趣，並與印度及國外的許多醫學研究人員密切合作，主要專注於電腦輔助診斷應用。她擁有四項已授權的專利和六項待審查的專利申請。她為大學的醫學研究人員開發了許多內部分析工具。她獲得了多項獎項，包括農村創新獎、飛利浦創新日獎、IDF 創新獎和最佳論文獎。她在國際期刊上發表了約 75 篇研究論文，H-index 為 20。

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