3d Image Medical Segmentation Survey

[2103.05423] Deep Learning based 3D …

https://arxiv.org/abs/2103.05423

Biomedical Image Segmentation: A Survey | SpringerLink

https://link.springer.com/article/10.1007/s42979-021-00704-7

Efficient 3D Deep Learning Model for Medical Image …

https://www.sciencedirect.com/science/article/pii/S1110016820305639

This paper proposed an efficient 3D segmentation deep learning model (named 3D-DenseUNet-569) for liver and tumor semantic segmentation from CT …

Generative adversarial networks and its applications in

https://link.springer.com/article/10.1007/s13735-022-00240-x

A comprehensive survey is conducted on GANs network application to medical image segmentation, primarily focused on various GANs-based models, …

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 Segmentation Using Deep Learning: A …

https://arxiv.org/abs/2009.13120

Deep learning has been widely used for medical image segmentation and a large number of papers has been presented recording the success of deep learning in …

3D Medical Image Segmentation using Parallel …

https://www.sciencedirect.com/science/article/pii/S0031320323001334

The performance of TransUNet, UNETR, TransBTS, and CoTr is worse than ours. Compared with the current state-of-the-art Transformer-based method TansFuse, …

Efficient Lung Cancer Image Classification and …

https://www.mdpi.com/2079-9292/12/4/1024

In the segmentation mission, the Swin Transformer network has better performance. We slice the images and labels in three directions (x-direction, y-direction, …

Biomedical Image Segmentation

https://iq.opengenus.org/biomedical-image-segmentation/

Image segmentation is a key step in image processing, where all pixels (2D) or voxels (3D) are labeled based on their classification/class or what specific region of interest it is …

GitHub - csyanbin/3D-Medical-Generative-Survey

https://github.com/csyanbin/3D-Medical-Generative-Survey

Denoising of 3D magnetic resonance images using a residual encoder-decoder Wasserstein generative adversarial network. Medical image analysis 55 …