editedbook
Publication: IIP Proceedings Year: 2022, Month: November Page No: 109-117, ISSN/ISBN: 978-81-959356-3-5, DOI/Link: https://rsquarel.org/assets/docupload/rsl20235DA68A144979974.pdf
BRAIN TUMOR VOLUME ESTIMATION OF 3D MAGNETIC RESONANCE IMAGING
Area/Stream: Computing Technologies and Data Sciences, Authors: S. Sowmyayani Keywords: tumor; magnetic resonance imaging; features Book Name /series: Futuristic Trends in Computing Technologies and Data Sciences,Volume 2, Book 18, Part 2, Chapter 3Publication: IIP Proceedings Year: 2022, Month: November Page No: 109-117, ISSN/ISBN: 978-81-959356-3-5, DOI/Link: https://rsquarel.org/assets/docupload/rsl20235DA68A144979974.pdf
Abstract:
The greatest treatment for patients is provided by radiologists with the aid of an ehealth care system. Patients' chances of survival will rise if early therapy is provided at the appropriate time. Brain tumors are the abnormal development of malignant cells in the brain. There are two types of brain tumors: benign tumors and malignant tumors. The World Health Organization (WHO) recommended grading system is utilized to classify the tumor. Grade I and II tumors are low or benign tumors. Grade III and IV tumors are classified as high or malignant. Many image processing techniques are employed for tumor identification, including picture enhancement, segmentation, edge detection, classification, etc. In this chapter, brain tumors are segmented and the volume of the tumor is estimated for Magnetic Resonance Imaging (MRI) images.
Cite this: S. Sowmyayani,"BRAIN TUMOR VOLUME ESTIMATION OF 3D MAGNETIC RESONANCE IMAGING", Futuristic Trends in Computing Technologies and Data Sciences,Volume 2, Book 18, Part 2, Chapter 3, November, 2022, 109-117, 978-81-959356-3-5, https://rsquarel.org/assets/docupload/rsl20235DA68A144979974.pdf
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