International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 2 April-June 2025 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.

Early Diagnosis of Pancreatic Cancer Using Deep Learning-Based Intelligent System

Author(s) Damera Saritha, Hameed V T, Kundan Kumar S, Nimisha S L, Y Chaitanya
Country India
Abstract Since pancreatic cancer usually develops asymptomatically and at a late stage, it remains one of the most deadly types of the disease. The survival rate is significantly reduced by such late identification, which also limits the available therapy options. The goal of this research is to use machine learning algorithms on medical imaging data to develop a tool for the early detection and diagnosis of pancreat-ic cancer. By improving diagnosis speed and accuracy, the system aims to help physicians make in-formed decisions quickly, which may lead to better patient outcomes and even higher survival rates.
Keywords Pancreatic Cancer, Deep Learning, Medical Imaging, Early Diagnosis, Cancer Staging.
Field Medical / Pharmacy
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-06-07
DOI https://doi.org/10.71097/IJSAT.v16.i2.6080
Short DOI https://doi.org/g9pz8v

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