Research Article
Early and Precise Detection of Pancreatic Tumor by Hybrid Approach with Edge Detection and Artificial Intelligence Techniques
@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}, volume={7}, number={28}, 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
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.
Copyright © 2021 Bhawna Dhruv et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
