Medical Image Segmentation Techniques: A Review

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Author(s): Anju Shukla (VIT Bhopal University, Bhopal, India), Shishir Kumar (Babasaheb Bhimrao Ambedkar University, Lucknow, India), Virendra Singh Kushwah (VIT Bhopal University, Bhopal, India)and Amarjeet Singh (JSS Academy of Technical Education, Noida, India)
Copyright: 2025
Pages: 12
Source title: Computer-Assisted Analysis for Digital Medicinal Imagery
Source Author(s)/Editor(s): Amit Sinha (ABES Engineering College, Ghaziabad, India), Pranshu Saxena (School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India), Sanjay Kumar Singh (University School of Automation and Robotics,Guru Gobind Singh Indraprastha University, East Delhi, India)and Harikesh Singh (JSS Academy of Technical Education, Noida, India)
DOI: 10.4018/979-8-3693-5226-7.ch009

Keywords: Knowledge Management and Library Science / Medical Imaging / Medical Information Science Reference / Medical Technologies

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Abstract

Medical image segmentation is a critical task in medical imaging that involves delineating structures of interest within medical images, such as organs, tissues, and abnormalities. The accuracy and efficiency of segmentation directly impact the quality of medical care, making it a pivotal component in modern healthcare. In this paper, Medical Image Segmentation Techniques are presented. Medical image processing involves a series of steps to transform raw medical image data into meaningful information for clinical decision-making. The detailed process is presented in the paper. Also, comparison of latest medical image segmentation techniques is compared based on Technique, Key features, advantages and limitation.

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Medical Image Segmentation Techniques: A Review

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