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V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation
A neural architecture search method for volumetric medical image segmentation. -
Scalable Neural Architecture Search for 3D Medical Image Segmentation
A scalable neural architecture search method for 3D medical image segmentation. -
Nas-unet: Neural Architecture Search for Medical Image Segmentation
A neural architecture search method for medical image segmentation. -
UXNet: Searching Multi-level Feature Aggregation for Segmentation
A novel architecture searching setting: searching for the optimal multi-level feature aggregation strategy to fuse the feature maps in UNet-like architecture for 3D medical... -
Few shot learning framework to reduce inter-observer variability in medical i...
Few shot learning framework to reduce inter-observer variability in medical images -
AMOS2022 challenge dataset
The AMOS2022 challenge dataset contains 500 CT and 100 MRI scans, distributed into 200+40 (CT + MRI) training, 100+20 validation and 200+40 test images. -
MSD Liver Segmentation
The dataset used for the federated learning experiment for semantic medical image segmentation. -
Left Atrial Segmentation Dataset
Left atrial (LA) segmentation dataset for medical image segmentation -
White Matter Hyperintensities (WMH) dataset
White matter hyperintensities (WMH) dataset for medical image segmentation -
Drishti-GS and Left Atrial MRI dataset
The dataset used in the paper is the 2D optic cup and disk segmentation dataset: Drishti-GS (GS) and the left atrial (LA) 3D gadolinium-enhanced magnetic resonance imaging (MRI)... -
BraTS 2017 dataset
The BraTS 2017 dataset, used for training and testing the segmentation models. -
2D brain tumour dataset
The 2D brain tumour dataset proposed in [16], created from axial slices extracted from the MRI volumes of the 3D brain tumor segmentation challenge (BraTS) 2017 data. -
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets
Skin lesion segmentation (SLS) plays an important role in skin lesion analysis. Vision transformers (ViTs) are considered an auspicious solution for SLS, but they require more... -
Spleen dataset
The dataset used for training and testing the proposed deep co-training method for semi-supervised image segmentation. -
Public Benchmark for Cardiac Substructure Segmentation
A public benchmark for the cardiac substructure segmentation task, which consists of 20 unpaired CT and 20 MRI images from 40 patients. -
Medical Cross-Modality Domain Adaptation Benchmark
A medical cross-modality domain adaptation benchmark proposed in [6] to validate the performance of our proposed unsupervised cross-modality domain adaptation method for... -
PET-CT lymphoma dataset
The PET-CT dataset contains 3D images from 173 patients who were diagnosed with large B-cell lymphomas and underwent PET-CT examination. -
Microscopy Images
Microscopy Images dataset was from the NeurIPS 2022 Cell Segmentation Challenge [34] that focused on cell segmentation in various microscopy images.
