Semi-supervised training using cooperative labeling of weakly annotated data for nodule detection in chest CT.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16219
Abstract: PURPOSE Machine learning algorithms are best trained with large quantities of accurately annotated samples. While natural scene images can often be labeled relatively cheaply and at large scale, obtaining accurate annotations for medical images is… read more here.
Keywords: annotated data; training; weakly annotated; cooperative labeling ... See more keywords
ROSE-X: an annotated data set for evaluation of 3D plant organ segmentation methods
Sign Up to like & getrecommendations! Published in 2020 at "Plant Methods"
DOI: 10.1186/s13007-020-00573-w
Abstract: Background The production and availability of annotated data sets are indispensable for training and evaluation of automatic phenotyping methods. The need for complete 3D models of real plants with organ-level labeling is even more pronounced… read more here.
Keywords: annotated data; plant; segmentation methods; organ segmentation ... See more keywords