phat 18: e6

Research Article

Early and Precise Detection of Pancreatic Tumor by Hybrid Approach with Edge Detection and Artificial Intelligence Techniques

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  • @ARTICLE{10.4108/eai.31-5-2021.170009,
        author={Bhawna Dhruv and Neetu Mittal and Megha Modi},
        title={Early and Precise Detection of Pancreatic Tumor by Hybrid Approach with Edge Detection and Artificial Intelligence Techniques},
        journal={EAI Endorsed Transactions on Pervasive Health and Technology: Online First},
        volume={},
        number={},
        publisher={EAI},
        journal_a={PHAT},
        year={2021},
        month={5},
        keywords={Pancreatic Tumor, Ant Colony Optimization, Genetic Algorithm, Particle Swarm Optimization, Fuzzy C Means Clustering},
        doi={10.4108/eai.31-5-2021.170009}
    }
    
  • Bhawna Dhruv
    Neetu Mittal
    Megha Modi
    Year: 2021
    Early and Precise Detection of Pancreatic Tumor by Hybrid Approach with Edge Detection and Artificial Intelligence Techniques
    PHAT
    EAI
    DOI: 10.4108/eai.31-5-2021.170009
Bhawna Dhruv1, Neetu Mittal1,*, Megha Modi2
  • 1: Amity University Uttar Pradesh, Noida, UP, India
  • 2: Yashoda Super Specialty Hospital, UP, India
*Contact email: nmittal1@amity.edu

Abstract

INTRODUCTION: Pancreatic cancer is highly lethal as it grows, spreads rapidly and difficult to diagnose at its early stages. It can be identified through scan images. The tumorous images obtained from imaging techniques suffer from the drawback of cryptic data due to presence of unwanted noise and poor contrast.

OBJECTIVE: To reduce the risk of pancreatic cancer, its detection and diagnosis at an early stage becomes crucial.

METHODS: The proposed work encompasses the processing of CT scans of pancreatic tumor using classical and artificial intelligence based optimized edge detection techniques for optimization and detection of tumor.

RESULTS: The simulation results are highly encouraging as evident from the far improved visibility of resultant images with Particle Swarm Optimization.

CONCLUSION: The output image with PSO shows the quality enhanced CT images which helps in accurate detection and diagnosis of the pancreatic tumor at an early stage providing an aid in medical imaging.