RepsNet: A Nucleus Instance Segmentation Model Based on Boundary Regression and Structural Re-parameterization

RepsNet: A Nucleus Instance Segmentation Model Based on Boundary Regression and Structural Re-parameterization

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Imaging,
neural networks   instance segmentation   pathological images   structural re-parameterization   boundary regression   nucleus segmentation   pathological diagnosis  

Report on the Paper “RepsNet: A Nucleus Instance Segmentation Model Based on Boundary Regression and Structural Re-parameterization” Academic Background Pathological diagnosis is the gold standard for tumor diagnosis, and nucleus instance segmentation is a key step in digital pathology analysis and pathological diagnosis. However, the computational...