Diagnostic Ability Of Deep Learning In Detection Of Pancreatic Tumour

This paper provides a comprehensive analysis of the many categorization schemes for pancreatic tumors that have previously been published. A CNN classifier was developed by Ma et al. to detect pancreatic cancers in CT data automatically. Fu et al. introduced a novel pancreatic segmentation approach for the challenging task of pancreatic segmentation. An eightfold cross-validation approach was used to measure performance after a CNN-based DL technique was applied to CECT images to get three methods. Quantitative and qualitative CT data were also used to assess radiologists’ efficiency.