Contextual Prior Constrained Deep Networks for Mitosis Detection With Point Annotations
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3079215
Abstract: We study the problem of training an accurate deep learning mitosis detection model with only point annotations. To address this challenging label-efficient deep learning problem, we propose a novel contextual prior constraint mechanism and spatial… read more here.
Keywords: contextual prior; mitosis detection; mitosis; detection ... See more keywords
A Weakly Supervised Method With Colorization for Nuclei Segmentation Using Point Annotations
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3265124
Abstract: Nuclei segmentation is an essential step in the automatic analysis of histopathology images. This segmentation task requires much work to manually generate accurate pixel-level annotations for fully supervised training. To overcome such expensive and hard-to-get… read more here.
Keywords: nuclei segmentation; weakly supervised; task; point annotations ... See more keywords