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Data Camera for Labeling Ophthalmic Stereograms

Archives of Ophthalmology, 1957
In a previous publication1concerned with a system of panophthalmic stereophotography, brief mention was made relevant to a unit of the system used for permanently labeling ophthalmic stereotransparencies. The present communication presents the details of this photographic instrument.
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Data Labeling

2022
Adrian Png, Heli Helskyaho
openaire   +1 more source

Learning with partly labeled data

Neural Computing and Applications, 2007
Learning with partly labeled data aims at combining labeled and unlabeled data in order to boost the accuracy of a classifier. This paper outlines the two main classes of learning methods to deal with partly labeled data: pre-labeling-based learning and semi-supervised learning. Concretely, we introduce and discuss three methods from each class.
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An overview of real‐world data sources for oncology and considerations for research

Ca-A Cancer Journal for Clinicians, 2022
Lynne Penberthy   +2 more
exaly  

Data Set Design and Data Labeling

2023
Jayakumar Singaram   +2 more
openaire   +1 more source

Imbalance multi-label data learning with label specific features

Neurocomputing, 2022
Reshma Rastogi, Sayed Mortaza
openaire   +1 more source

Innovations in research and clinical care using patient‐generated health data

Ca-A Cancer Journal for Clinicians, 2020
H S L Jim   +2 more
exaly  

Three-way decision with co-training for partially labeled data

Information Sciences, 2021
Can Gao, Jie Zhou, Duoqian Miao
exaly  

Incremental label propagation for data sets with imbalanced labels

Neurocomputing, 2023
Yaoxing Li   +3 more
openaire   +1 more source

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