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...

Descripción completa

Detalles Bibliográficos

Autores principales:	Naohiro Masuda, Keiko Ono, Daisuke Tawara, Yusuke Matsuura, Kentaro Sakabe
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2024-12-01
Colección:	Sensors
Materias:	feature pyramid network Mask2Former SegFormer semantic segmentation transformer block
Acceso en línea:	https://www.mdpi.com/1424-8220/25/1/81
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!