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An Analysis of Algorithms and Methods Based on Image Processing for Medical Applications
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Author(s): Aakifa Shahul (SRM Medical College, India), Balakumar Muniandi (Independent Researcher, USA), Mukundan Appadurai Paramashivan (Aligarh Muslim University, India & Champions Group, India), Digvijay Pandey (Department of Technical Education, Government of Uttar Pradesh, India), Binay Kumar Pandey (Department of Information Technology, College of Technology, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, India), Pankaj Dadheech (Swami Keshvanand Institute of Technology, Management, and Gramothan, India)and Hovan George (Tbilisi State Medical University, Georgia)
Copyright: 2024
Pages: 14
Source title:
Emerging Engineering Technologies and Industrial Applications
Source Author(s)/Editor(s): Younes El Kacimi (Ibn Tofail University, Morocco)and Khaoula Alaoui (Ibn Tofail University, Morocco)
DOI: 10.4018/979-8-3693-1335-0.ch007
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Abstract
Image processing has become more crucial in medical applications due to its ability to collect and evaluate data from medical images. This book chapter provides an overview of various image processing techniques used for medical applications, including deep learning algorithms, segmentation techniques, and a combination of both. Additionally, the authors discuss other studies that analysed X-rays and used image processing to identify cancer, brain tumours, and other disorders. The results of the study demonstrate how image processing techniques have the potential to significantly improve sickness detection speed and accuracy, facilitating early diagnosis and treatment. The planning of therapies and the accuracy of diagnoses can both be enhanced by the use of image processing tools. Healthcare workers' ability to recognise and manage a variety of medical conditions will undoubtedly increase.
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