New technologies as part of better diagnosis and treatment of pancreatic cancer
10.04.2025
The aim of the project is to explore the potential of convolutional neural network technology in the detection of pancreatic cancer cells from fine needle aspirate and investigate the possibility of classifying pancreatic cancers into different prognostic groups and predicting treatment response based on cell morphology using Deep Learning.
