“Convolutional Neural Networks Accurately Detect Lymphatic Invasion in Gasric Cancer Using Hard Negative Mining Approach in Weakly Labeled Dataset”

https://pubmed.ncbi.nlm.nih.gov/38116763

This study trains convolutional neural networks to accurately detect lymphatic invasion in gastric cancer using a hard negative mining approach in a weakly labeled dataset, improving classification performance and overcoming the scarcity of annotated data.