Data-Efficient Bone Segmentation Using Feature Pyramid- Based SegFormer

The semantic segmentation of bone structures demands pixel-level classification accuracy to create reliable bone models for diagnosis. While Convolutional Neural Networks (CNNs) are commonly used for segmentation, they often struggle with complex shapes due to their focus on texture features and lim...

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Hlavní autoři:	Naohiro Masuda, Keiko Ono, Daisuke Tawara, Yusuke Matsuura, Kentaro Sakabe
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-12-01
Edice:	Sensors
Témata:	feature pyramid network Mask2Former SegFormer semantic segmentation transformer block
On-line přístup:	https://www.mdpi.com/1424-8220/25/1/81
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