Year: 2025
Type: article
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.
Authors: Damera Saritha -, Hameed V T -, Kundan Kumar S -, Nimisha S L -, Y Chaitanya -
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411214182