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SMUDLP: Self-Teaching Multi-Frame Unsupervised Endoscopic Depth Estimation wi...
Unsupervised monocular depth estimation models make use of adjacent frames as a supervisory signal during the training phase. However, temporally correlated frames are also... -
COVID-19 Diagnosis Dataset
The dataset used in this paper for COVID-19 diagnosis from community acquired pneumonia (CAP) in chest computed tomography (CT) images. -
3D Shape-Consistent Synthetic Data
Publicly available dataset for 3D shape-consistent synthetic data generation -
MWHS Challenge 2017
Multi-Modality Whole Heart Segmentation (MWHS) Challenge 2017 dataset for cardiac segmentation -
Medfair: Benchmarking fairness for medical imaging
A benchmark for assessing the performance of fairness mitigation methods in medical imaging. -
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels
A large chest radiograph dataset with labels for common thorax diseases. -
ChestX-ray14: A Large Chest Radiograph Dataset with Uncertainty Labels
A large chest radiograph dataset with labels for common thorax diseases. -
Multi-Label Continual Learning for Medical Imaging: A Novel Benchmark
A novel benchmark for multi-label image classification in medical imaging, combining new classes and domains into a challenging scenario. -
Tang et al. dataset
The dataset consists of 50 thoracic CT scans with corresponding masks (five lobes, trachea and lobar bronchi) annotated by radiologists. -
LIDIC dataset
The dataset consists of 50 thoracic CT scans with corresponding masks (five lobes, trachea and lobar bronchi) annotated by radiologists. -
Medical Image Analysis and Classification
The dataset is used for medical image analysis and classification. -
Segmentation labels and radiomic features for the pre-operative scans of the ...
The dataset contains pre-operative scans of the TCGA-LGG collection. -
Psoas muscle segmentation dataset
The dataset used in this paper for psoas muscle segmentation in low-dose X-ray computed tomography images. -
Clinical Brain CT Scans
Clinical brain CT scans dataset used for anomaly detection in brain CT scans -
Stanford Fullysampled 3D FSE Knees
The Stanford Fullysampled 3D FSE Knees dataset is a public MRI dataset of 20 fully-sampled k-space volumes of knees. -
Stanford 2D FSE
The Stanford 2D FSE dataset is a public dataset of 89 fully-sampled MRI volumes of various anatomies. -
Head and Neck CT Dataset
A large head and neck CT dataset with 699 images from different patients with head and neck cancers, which were scanned during September 2015 and October 2019. -
TCIA GBM MRI Images
The dataset used in this paper is a collection of lung cancer pathology images and brain tumor MRI images.