PANCREATIC TUMOR SEGMENTATION IN RECENT MEDICAL IMAGING – AN OVERVIEW

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dc.contributor.authorSindhu A
dc.contributor.authorRadha V
dc.date.accessioned2020-09-15T07:53:29Z
dc.date.available2020-09-15T07:53:29Z
dc.date.issued2020-01-07
dc.description.abstractPancreatic 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.en_US
dc.identifier.isbn978-3-030-37218-7_58
dc.identifier.urihttps://link.springer.com/chapter/10.1007%2F978-3-030-37218-7_58
dc.identifier.urihttps://dspace.psgrkcw.com/handle/123456789/1507
dc.language.isoenen_US
dc.publisher“Advances in Intelligent Systems and computing” 2194-5357 @ Springer Nature Switzerland AG 2020 S. pp.514 -522en_US
dc.subjectPancreaticen_US
dc.subjectPET-CTen_US
dc.subjectMRIen_US
dc.subjectCTen_US
dc.subjectSegmentationen_US
dc.titlePANCREATIC TUMOR SEGMENTATION IN RECENT MEDICAL IMAGING – AN OVERVIEWen_US
dc.typeBooken_US

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