Entropy‐guided contrastive learning for semi‐supervised medical image segmentation

Accurately segmenting medical images is a critical step in clinical diagnosis and developing patient‐specific treatment plans. While supervised learning algorithms have achieved excellent performance in this area, they require a large amount of annotated data, which is often time‐consuming and diffi...

Celý popis

Podrobná bibliografia

Vydané v:	IET image processing Ročník 18; číslo 2; s. 312 - 326
Hlavní autori:	Xie, Junsong, Wu, Qian, Zhu, Renju
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Wiley 01.02.2024
Predmet:	contrastive learning Covid‐19 entropy‐guided medical image segmentation semi‐supervised learning
ISSN:	1751-9659, 1751-9667
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!