225 datasets found

Swin-Unet: Unet-like pure transformer for medical image segmentation.

Medical Transformer: Gated axial-attention for medical image segmentation.

Unet++: A nested U-Net architecture for medical image segmentation.

Precise Tooth Cone Beam Computed Tomography (CBCT) image segmentation is crucial for orthodontic treatment planning. In this paper, we propose FDNet, a Feature Decoupled...

Liver and tumor segmentation from Computed Tomography (CT) images is a mandatory task in diagnosing, monitoring, and treating liver diseases.

Automated liver tumor segmentation from Computed Tomography (CT) images is a necessary prerequisite in the interventions of hepatic abnormalities and surgery planning.

The dataset used for training and testing the proposed deep co-training method for semi-supervised image segmentation.

Medical image segmentation task using cardiac magnetic resonance images from different hospitals.

The dataset used for training and validation of the EigenRank algorithm for data subset selection and failure prediction in deep learning based medical image segmentation.

A large annotated medical image dataset for the development and evaluation of segmentation algorithms.

Medical image segmentation using the proposed AgileFormer model

Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: Is the problem solved?

A novel domain adaptation framework for medical image segmentation

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge.

Two cardiac computed tomography (CT) datasets consisting of 760 volumes across the whole cardiac cycle from 39 patients, and of 60 volumes from 60 patients respectively were...

A dataset for multi-organ segmentation problem, filling the gap of extendable multi-domain learning in image segmentation.

The dataset used in the paper is a real-world dataset for testing the parametric efficiency of quadratic networks.

The dataset used for medical image segmentation.

The dataset used for medical image segmentation.

The dataset used for medical image segmentation.