I-MedSAM: Implicit Medical Image Segmentation with Segment Anything

With the development of Deep Neural Networks (DNNs), many efforts have been made to handle medical image segmentation. Traditional methods such as nnUNet train specific segmentation models on the individual datasets. Plenty of recent methods have been proposed to adapt the foundational Segment Anyth...

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Veröffentlicht in:	arXiv.org 2024-07
Hauptverfasser:	Xiaobao Wei, Cao, Jiajun, Jin, Yizhu, Lu, Ming, Wang, Guangyu, Zhang, Shanghang
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Image segmentation Implicit methods Machine learning Medical imaging Parameters Representations
Online-Zugang:	Volltext
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