Improved Particle Swarm Optimization for Detection of Pancreatic Tumor using Split and Merge Algorithm

ABSTRACT

Pancreatic cancer is the fourth leading cause of cancer-related death worldwide. Pancreatic tumours are characterised by a peculiar cell progression in intestinal enzymes and hormone-producing cells. Patients with pancreatic tumours have a shorter survival period depending on the type of tumour they have. Enhancing patient survival, diagnosing patients with malignant pancreatic tumours as soon as possible is the need of hour. The commonly used approach for diagnosis and clinical disease staging of pancreatic cancer is Computed Tomography (CT). However, because most abdominal CT images contain noise in addition to visceral fat in the vicinity of the pancreas, prompt detection is difficult, which requires an algorithm that distinguishes the anatomical structure clearly. This paper proposes, Particle Swarm Optimisation incorporating Split and Merge Segmentation to obtain enhanced CT images of pancreatic tumour. The image undergoes image processing procedures such as segmentation using PSO and fetch an enhanced output image with the help of gaussian filter. The algorithm outperforms Conventional PSO in terms of Entropy and Contrast, according to experimental results. The improved CT scans aid in the early detection and diagnosis of pancreatic cancer.

KEYWORDS:

• Pancreatic tumour
• particle Swarm optimisation
• split-merge
• image segmentation
• computed tomography

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Notes on contributors

Bhawna Dhruv

Ms. Bhawna Dhruv is a Research Scholar in Amity Institute of Information Technology, Amity University Uttar Pradesh, Noida. She has 6 years of teaching and research experience. She has published various research articles in reputed journals and conferences.

Neetu Mittal

Dr. Neetu Mittal is an Associate professor with Amity Institute of Information Technology, Amity University Uttar Pradesh, Noida. She has 15 years of vast teaching and research experience. She has published many research papers in different International Journals, Chapters and Conferences. She has filed many patents and copyright also.

Megha Modi

Dr. Megha Modi, MD in Skin-VD is a practicing Dermatologist. She has to her credit the enviable distinction of being a Gold Medallist at both the undergraduate as well as post-graduate levels.