Multiple-Instance Learning for Medical Image and Video Analysis

Multiple-instance learning (MIL) is a recent machine-learning paradigm that is particularly well suited to medical image and video analysis (MIVA) tasks. Based solely on class labels assigned globally to images or videos, MIL algorithms learn to detect relevant patterns locally in images or videos....

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Podrobná bibliografie
Vydáno v:	IEEE reviews in biomedical engineering Ročník 10; s. 213 - 234
Hlavní autoři:	Quellec, Gwenole, Cazuguel, Guy, Cochener, Beatrice, Lamard, Mathieu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithm design and analysis Algorithms Biomedical image processing Cancer Feature extraction Image classification Image detection Image processing Image segmentation Labels Learning algorithms Lesions Machine learning Medical image analysis medical video analysis multiple-instance learning (MIL) Scientific papers
ISSN:	1937-3333, 1941-1189, 1941-1189
On-line přístup:	Získat plný text
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