Supervised Machine Learning
"Supervised Machine Learning" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A MACHINE LEARNING paradigm used to make predictions about future instances based on a given set of labeled paired input-output training (sample) data.
| Descriptor ID |
D000069553
|
| MeSH Number(s) |
G17.035.250.500.500 L01.224.050.375.530.500
|
| Concept/Terms |
|
Below are MeSH descriptors whose meaning is more general than "Supervised Machine Learning".
Below are MeSH descriptors whose meaning is more specific than "Supervised Machine Learning".
This graph shows the total number of publications written about "Supervised Machine Learning" by people in this website by year, and whether "Supervised Machine Learning" was a major or minor topic of these publications.
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| Year | Major Topic | Minor Topic | Total |
|---|
| 2020 | 1 | 0 | 1 |
| 2021 | 1 | 0 | 1 |
| 2022 | 1 | 0 | 1 |
| 2024 | 0 | 1 | 1 |
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Below are the most recent publications written about "Supervised Machine Learning" by people in Profiles.
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Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder. Artif Intell Med. 2024 05; 151:102828.
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Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency. Med Image Anal. 2022 Aug; 80:102517.
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Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation. IEEE Trans Med Imaging. 2021 10; 40(10):2629-2641.
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Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images. IEEE Trans Med Imaging. 2020 11; 39(11):3655-3666.