An Automated Framework for Histopathological Nucleus Segmentation with Deep Attention Integrated Networks.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2022.3233400
Abstract: Clinical management and accurate disease diagnosis are evolving from qualitative stage to the quantitative stage, particularly at the cellular level. However, the manual process of histopathological analysis is lab-intensive and time-consuming. Meanwhile, the accuracy is… read more here.
Keywords: deep attention; attention integrated; segmentation; integrated networks ... See more keywords
NuKit: A deep learning platform for fast nucleus segmentation of histopathological images
Sign Up to like & getrecommendations! Published in 2023 at "Journal of bioinformatics and computational biology"
DOI: 10.1142/s0219720023500026
Abstract: Nucleus segmentation represents the initial step for histopathological image analysis pipelines, and it remains a challenge in many quantitative analysis methods in terms of accuracy and speed. Recently, deep learning nucleus segmentation methods have demonstrated… read more here.
Keywords: nukit deep; segmentation; deep learning; nucleus segmentation ... See more keywords