2d Medical Images

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Medical imaging: Displaying 3D images in 2D …

https://medicalxpress.com/news/2021-03-medical-imaging-3d-images-2d.html

Medical imaging: Displaying 3D images in 2D formats makes it easy to miss large targets in clinical settings by SPIE 2D and 3D localization displays. A reference image of a noiseless...

Bringing 2D Medical Images to Life - Stratasys

https://www.stratasys.com/en/resources/case-studies/bringing-2d-medical-images-to-life/

Along with the Stratasys J750, Medical IP technology has made the 2D-to-3D printing workflow seamless. Medical image data acquisition such as CT or MR images …

2D medical image segmentation via learning multi-scale …

https://pubmed.ncbi.nlm.nih.gov/34029714/

2D medical image segmentation via learning multi-scale contextual dependencies. Automatic medical image segmentation plays an important role as a diagnostic aid in the …

Computational 2D and 3D Medical Image Data …

https://link.springer.com/article/10.1007/s11831-021-09602-w

This section explores an analysis of past literature of both 2D and 3D image compression techniques proposed for medical images. Some of the existing …

Helping radiology students see 2D …

https://www.continuum.umn.edu/2019/10/helping-radiology-students-see-2d-medical-images-in-3d-anatomy/

Mickey Hafertepe demonstrates a 3D printed bladder, ureters, and collecting system (photo credit Allison Thompson). …

2D and 3D Medical Image Analysis by Discrete …

https://www.sciencedirect.com/science/article/pii/S1877050919300560

The 2D and 3D medical imaging play a very important role in medical diagnosis to detect and isolate various pathologies. The treatment, exploitation and the …

Self-Supervised Pretraining for 2D Medical Image …

https://arxiv.org/abs/2209.00314

Medical image segmentation is a field where labelling data requires expert knowledge and collecting large labelled datasets is challenging; therefore, self-supervised …

3Dicom R&D - Medical Image Analysis, DICOM Segmentation & AI

https://3dicomviewer.com/3d-medical-image-analysis-software/

3Dicom R&D - Medical Image Analysis, DICOM Segmentation & AI 3DICOM R&D Fully Featured DICOM Viewer for 3D Visualisation, Segmentation & 3D Printing 3Dicom R&D …

Inflating 2D Convolution Weights for Efficient Generation of 3D …

https://deepai.org/publication/inflating-2d-convolution-weights-for-efficient-generation-of-3d-medical-images

There are two problems, however, that prevent effective training of a 3D medical generative model: (1) 3D medical images are very expensive to acquire and …

(PDF) Joint Embedding of 2D and 3D Networks for …

https://www.researchgate.net/publication/366497089_Joint_Embedding_of_2D_and_3D_Networks_for_Medical_Image_Anomaly_Detection

With medical image data, we can design either 2D or 3D networks of self-supervised learning for anomaly detection task. Although 3D networks, which learns 3D …

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