Image Analysis for Segmentation and Classification of Blood Cells from Images of Peripheral Blood Smears

Inbunden, Engelska, 2026

AvRoopa B Hegde,Swathi Prabhu,Keerthana Prasad

3 409 kr

Kommande

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 fieldFocuses on blood cell segmentation and classification, along with practical guidelines for implementationExplores current challenges in integrating these technologies into real-world clinical settingsDiscusses ethical considerations and challenges associated with automation in medical diagnosisIncludes 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.

Produktinformation

Utgivningsdatum2026-10-02
Mått156 x 234 x undefined mm
FormatInbunden
SpråkEngelska
Antal sidor152
FörlagTaylor & Francis Ltd
ISBN9781041102151

Tillhör följande kategorier

Klinisk medicin och internmedicin inom Medicin
Biomedicinsk teknik inom Medicin
Energiteknik inom Naturvetenskap och teknik
Systemvetenskap och AI inom Data och IT

Roopa B. Hegde is currently working as 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 H-index of 9. She has to her credit two patents granted and four applications are pending examination. She has won best paper award and healthcare innovation hackathon. Her areas of interest include signal processing, image processing, pattern recognition, artificial intelligence, and machine learning.Swathi Prabhu is currently working as 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 in-clude medical image processing, artificial intelligence, machine learning, and deep learning.Keerthana Prasad is currently working as Professor and Director of Manipal School of Information Sciences, Manipal. With a keen interest in application of tech-nology 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 uni-versity. She has won many awards such as Rural Innovation award, Innovation Day award at Philips, IDF Innovation award and best paper award. She has published around 75 research papers in indexed international journals and has an H-index of 20.