We propose a Joint bone Segmentation and landmark Digitization (JSD) framework via context-guided fully convolutional networks (FCNs).

We propose a Joint bone Segmentation and landmark Digitization (JSD) framework via context-guided fully convolutional networks (FCNs).

Sep 4, 2017 · Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks. Med Image Comput Comput ...

A context-guided fully convolutional network (FCN) is proposed that is superior to the state-of-the-art methods in both bone segmentation and landmark ...

To this end, we propose a context-guided fully convolutional network (FCN) for joint bone segmentation and landmark digitization. Specifically, we first train ...

To this end, we propose a context-guided fully convolutional network (FCN) for joint bone segmentation and landmark digitization. Specifically, we first train ...

Dive into the research topics of 'Joint craniomaxillofacial bone segmentation and landmark digitization by context-guided fully convolutional networks'.

S2 TL;DR: A context-guided fully convolutional network (FCN) is proposed that is superior to the state-of-the-art methods in both bone segmentation and landmark ...

深入研究「Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization」主題。共同形成了獨特的指紋。

Dec 21, 2021 · In. [16], the authors proposed a context-guided multi-task fully convolutional net- work for jointly segmenting two bony structures (i.e., ...