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
Selective Distillation of Weakly Annotated GTD for Vision-Based Slab Identification System
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2899109
Abstract: This paper proposes an algorithm for recognizing slab identification numbers in factory scenes. In the development of a deep-learning-based system, manual labeling to make ground-truth data (GTD) is an important but expensive task. Furthermore, the… read more here.
Keywords: slab identification; annotated gtd; weakly annotated; selective distillation ... See more keywords