Pancreatic Cancer Detection System Using Convolution Neural Network

Pancreatic Cancer Detection System Using Convolution Neural Network

Yash Choubisa1, Shambhavi Tiwari2, Yashaswa Sharma3, Ms. Ganashree4

123UG Student, Department of Computer Science and Engineering, Sir M Visvesvaraya Institute of Technology, Bengaluru, Karnataka, India
4Assistant Professor, Department of Computer Science and Engineering, Sir M Visvesvaraya Institute of Technology, Bengaluru, Karnataka, India

Abstract: Pancreatic cancer is one of the most lethal forms of cancer due to its late detection and aggressive progression. This study proposes a deep learning-based detection system utilizing a Convolutional Neural Network (CNN) to identify pancreatic cancer from medical imaging data, such as CT and MRI scans. The model is trained on a labeled dataset to automatically extract and learn hierarchical features distinguishing malignant from healthy pancreatic tissue. Through rigorous evaluation, the CNN demonstrates promising accuracy and sensitivity, highlighting its potential as a supportive diagnostic tool. The proposed system aims to aid radiologists in early detection, reduce diagnostic errors, and improve overall clinical outcomes.

Keywords: Pancreatic cancer; Deep Learning; Convolution Nueral Network(CNN); Labelled Dataset