Method of Tumor Pathological Micronecrosis Quantification Via Deep Learning From Label Fuzzy Proportions
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2021.3071276
Abstract: The presence of necrosis is associated with tumor progression and patient outcomes in many cancers, but existing analyses rarely adopt quantitative methods because the manual quantification of histopathological features is too expensive. We aim to… read more here.
Keywords: histopathological features; label fuzzy; learning label; fuzzy proportions ... See more keywords
LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3149926
Abstract: Learning from label proportions (LLP) is a widespread and important learning paradigm: only the bag-level proportional information of the grouped training instances is available for the classification task, instead of the instance-level labels in the… read more here.
Keywords: instance level; llp gan; learning label; label proportions ... See more keywords
Fitting the data from embryo implantation prediction: Learning from label proportions
Sign Up to like & getrecommendations! Published in 2018 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280216651098
Abstract: Machine learning techniques have been previously used to assist clinicians to select embryos for human-assisted reproduction. This work aims to show how an appropriate modeling of the problem can contribute to improve machine learning techniques… read more here.
Keywords: data embryo; embryo implantation; label proportions; learning label ... See more keywords