Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/1507
Title: PANCREATIC TUMOR SEGMENTATION IN RECENT MEDICAL IMAGING – AN OVERVIEW
Authors: Sindhu A
Radha V
Keywords: Pancreatic
PET-CT
MRI
CT
Segmentation
Issue Date: 7-Jan-2020
Publisher: “Advances in Intelligent Systems and computing” 2194-5357 @ Springer Nature Switzerland AG 2020 S. pp.514 -522
Abstract: Pancreatic tumor is one of the deadliest diseases, which is the fourth leading cause of cancer death worldwide. Detecting pancreatic cancer at an early stage may increase the life of the patients. Pancreatic tumor segmentation is one of the difficult challenges in medical field. Accurate and Efficient segmentation in medical images are emerging as a challenging task during radiotherapy planning. Various medical modalities like MRI, CT and PET are widely used for diagnosing the abnormalities present in the medical images. Image segmentation plays an important part for the exact detection of the tumor in diagnosing, detecting, treatment and planning. In this review paper, various algorithms are used for segmenting the pancreatic tumor in medical images were discussed.
URI: https://link.springer.com/chapter/10.1007%2F978-3-030-37218-7_58
http://localhost:8080/xmlui/handle/123456789/1507
ISBN: 978-3-030-37218-7_58
Appears in Collections:International Conference

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