2023
DOI: 10.1371/journal.pone.0292785
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CT scan pancreatic cancer segmentation and classification using deep learning and the tunicate swarm algorithm

Hari Prasad Gandikota,
Abirami S.,
Sunil Kumar M.

Abstract: Pancreatic cancer (PC) is a very lethal disease with a low survival rate, making timely and accurate diagnoses critical for successful treatment. PC classification in computed tomography (CT) scans is a vital task that aims to accurately discriminate between tumorous and non-tumorous pancreatic tissues. CT images provide detailed cross-sectional images of the pancreas, which allows oncologists and radiologists to analyse the characteristics and morphology of the tissue. Machine learning (ML) approaches, togeth… Show more

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Cited by 2 publications
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“…However, there is still a shortage of studies on the AI-assisted diagnosis of pancreatic cancer based on clinical and radiological features. Currently, some researchers have used deep learning techniques to analyze pancreatic CT images and have successfully identified pancreatic cancer lesions ( 9 ). Other researchers have also utilized clinical variables to construct mathematical models and scoring systems for assessing the risk of pancreatic cancer ( 10 ).…”
Section: Introductionmentioning
confidence: 99%
“…However, there is still a shortage of studies on the AI-assisted diagnosis of pancreatic cancer based on clinical and radiological features. Currently, some researchers have used deep learning techniques to analyze pancreatic CT images and have successfully identified pancreatic cancer lesions ( 9 ). Other researchers have also utilized clinical variables to construct mathematical models and scoring systems for assessing the risk of pancreatic cancer ( 10 ).…”
Section: Introductionmentioning
confidence: 99%