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Segmentation-Based Interpolation of 3D Medical Images
- https://www.semanticscholar.org/paper/Segmentation-Based-Interpolation-of-3D-Medical-Pan-Yin/f99a102c59086ffdb058499e75f64072a2246cfb
- This paper introduces a new interpolation algorithm based on images segmentation. Firstly, the algorithm obtains the regions of air, soft tissue and skeleton through …
Slice imputation: Multiple intermediate slices …
- https://pubmed.ncbi.nlm.nih.gov/35696751/
- We introduce a novel frame-interpolation-based method for slice imputation to improve segmentation accuracy for anisotropic 3D medical images, in which the number of slices …
Slice Imputation: Intermediate Slice Interpolation for Anisotropic …
- https://deepai.org/publication/slice-imputation-intermediate-slice-interpolation-for-anisotropic-3d-medical-image-segmentation
- We introduce a novel frame-interpolation-based method for slice imputation to improve segmentation accuracy for anisotropic 3D medical images, in …
Segmentation-Based Interpolation of 3D Medical Images
- https://www.researchgate.net/publication/221434640_Segmentation-Based_Interpolation_of_3D_Medical_Images
- This paper introduces a new interpolation algorithm based on images segmentation. of air, soft tissue and skeleton through segmenting images. Secondly, …
Efficient Semiautomatic Segmentation of 3D Objects in …
- https://link.springer.com/chapter/10.1007/978-3-540-40899-4_19
- While the user-steered live wire algorithm represents an efficient, precise and reproducible method for interactive segmentation of selected two-dimensional images, the shape …
3D Deep Learning on Medical Images: A Review - PubMed
- https://pubmed.ncbi.nlm.nih.gov/32906819/
- In recent years, three-dimensional (3D) CNNs have been employed for the analysis of medical images. In this paper, we trace the history of how the 3D CNN was …
Medical image interpolation based on 3D Lanczos filtering
- https://www.tandfonline.com/doi/full/10.1080/21681163.2019.1683469
- Interpolation is a method for generating new data points on a regular grid from a set of known data points, as result of some image transformations, such as scaling and …
Introduction to 3D medical imaging for …
- https://theaisummer.com/medical-image-processing/
- Since medical images are three dimensional, a lot of functionalities can be used. This time we will use scipy.ndimage.interpolation.zoom for resizing the image …
(PDF) 3D Segmentation of Medical Images
- https://www.researchgate.net/publication/274254914_3D_Segmentation_of_Medical_Images
- This paper introduces a new interpolation algorithm based on images segmentation. Firstly, the algorithm obtains the regions of air, soft tissue and …
LEARNING-BASED ACTIVE SURFACE MODEL FOR …
- https://patents.justia.com/patent/20230043026
- The image segmentation technique, in particular the learning-based active surface model for medical image segmentation, can be applied to the intelligent …
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