Computer-assisted cytologic diagnosis in pancreatic FNA: An application of neural networks to image analysis.
Journal:
Cancer cytopathology
Published Date:
Sep 8, 2017
Abstract
BACKGROUND: Fine-needle aspiration (FNA) biopsy is an accurate method for the diagnosis of solid pancreatic masses. However, a significant number of cases still pose a diagnostic challenge. The authors have attempted to design a computer model to aid in the diagnosis of these biopsies.
Authors
Keywords
Adenocarcinoma
Bile Duct Neoplasms
Biopsy, Fine-Needle
Carcinoma, Pancreatic Ductal
Computer Simulation
Cytodiagnosis
Diagnosis, Computer-Assisted
Diagnosis, Differential
Humans
Image Processing, Computer-Assisted
Neural Networks, Computer
Pancreas
Pancreatectomy
Pancreatic Neoplasms
Reproducibility of Results