This paper proposes a new method for extracting the skull cutting trajectory that combines deep learning, binocular stereo vision, and point cloud processing ...

The method automates the extraction and digitization of the cutting trajectory by utilizing Mask R-. CNN to detect and segment the surgical area first, then a.

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Missing: Extraction cutting

The experiment shows that the proposed trajectory extraction method can detect the skull surgical cutting trajectory accurately and efficiently and conduct ...

Deep MRI brain extraction: A 3D convolutional neural network for skull stripping[J]. NeuroImage, 2016, 129: 460-469. doi: 10.1016/j.neuroimage.2016.01.024.

Our key idea is extremely decoupling the 3D convolution in channel, spatial and temporal dimensions. Experiments have verified that the XwiseNet outperforms 3D- ...

Dec 13, 2023 · We tested the combinations of three different synthetic data sources: a statistical shape model (SSM), a generative adversarial network (GAN), and image-based ...

Active Learning with Numerical Feature Annotation. IEEE BigData ... Extraction of cutting plans in craniosynostosis using convolutional neural networks.

Jun 15, 2022 · This study aimed to diagnose simple suture synostosis by using machine learning based methods in digital photographs of child head.