Volumetric Medical Image Segmentation

17 papers with code • 1 benchmarks • 2 datasets

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Libraries

Use these libraries to find Volumetric Medical Image Segmentation models and implementations

Most implemented papers

MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation

MIC-DKFZ/MedNeXt 17 Mar 2023

This leads to state-of-the-art performance on 4 tasks on CT and MRI modalities and varying dataset sizes, representing a modernized deep architecture for medical image segmentation.

Learnable Weight Initialization for Volumetric Medical Image Segmentation

shahinakk/lwi-vms 15 Jun 2023

Hybrid volumetric medical image segmentation models, combining the advantages of local convolution and global attention, have recently received considerable attention.

Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation

asif-hanif/vafa 14 Jul 2023

While recent advances in deep learning have improved the performance of volumetric medical image segmentation models, these models cannot be deployed for real-world applications immediately due to their vulnerability to adversarial attacks.

Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation

maxwell0027/lefed 26 Sep 2023

Semi-supervised learning (SSL) has been proven beneficial for mitigating the issue of limited labeled data especially on the task of volumetric medical image segmentation.

Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation

xmed-lab/GenericSSL NeurIPS 2023

As a result, there is growing interest in using semi-supervised learning (SSL) techniques to train models with limited labeled data.

CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation

al3x-o-o-hung/csam 8 Nov 2023

Both 3D and purely 2D deep learning-based segmentation methods are deficient in dealing with such volumetric data since the performance of 3D methods suffers when confronting anisotropic data, and 2D methods disregard crucial volumetric information.

SegVol: Universal and Interactive Volumetric Medical Image Segmentation

baai-dcai/segvol 22 Nov 2023

Precise image segmentation provides clinical study with instructive information.