Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

•We discuss different forms of supervision in medical image analysis.•Over 140 papers using semi-supervised, multi-instance or transfer learning are covered.•We discuss connections between these scenarios and further opportunities for research. [Display omitted] Machine learning (ML) algorithms have...

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Vydané v:	Medical image analysis Ročník 54; s. 280 - 296
Hlavní autori:	Cheplygina, Veronika, de Bruijne, Marleen, Pluim, Josien P.W.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier B.V 01.05.2019 Elsevier BV
Predmet:	Algorithms Computer aided diagnosis Datasets Image analysis Image processing Image segmentation Learning algorithms Machine learning Medical imaging Multi-task learning Multiple instance learning Polls & surveys Semi-supervised learning Transfer learning Weakly-supervised learning Medical imaging Weakly-supervised learning Semi-supervised learning Transfer learning Machine learning Computer aided diagnosis Multiple instance learning Multi-task learning
ISSN:	1361-8415, 1361-8423, 1361-8423
On-line prístup:	Získať plný text
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