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CHAOS - Combined (CT-MR) Healthy Abdominal Organ Segmentation Challenge
A dataset for liver segmentation, including CT volumes and corresponding annotations. -
Kidney Tumor Segmentation Challenge (KiTS)
A dataset for kidney tumor segmentation, including CT volumes and corresponding annotations. -
Osteoarthritis Initiative (OAI) dataset
Knee OsteoArthritis (KOA) dataset used for early detection of KOA (KL-0 vs KL-2) using Vision Transformer (ViT) model with selective shuffled position embedding and key-patch... -
A novel approach for multi-label chest X-ray classification of common thorax ...
A novel approach for multi-label chest X-ray classification of common thorax diseases. -
Mitosis domain generalization challenge
The MIDOG Challenge was a competition on mitosis detection held at the International Conference on Medical Image Computing and Computer Assisted Intervention, 2021. -
CAMELYON-16
The CAMELYON-16 dataset is a public dataset for whole slide image analysis, containing 16,000 whole slide images of breast cancer histopathology slides. -
Hierarchical 3D fully convolutional networks for multi-organ segmentation
A two-stage, coarse-to-fine approach that trains an FCN model to roughly delineate the organs of interest in the first stage and then uses these predictions of the first-stage... -
Classification of Diabetic Retinopathy using Pre-Trained Deep Learning Models
Diabetic Retinopathy dataset containing 1000 color fundus images from KAGGLE -
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation
Brain lesion segmentation provides a valuable tool for clinical diagnosis, and convolutional neural networks (CNNs) have achieved unprecedented success in the task. Data... -
LiTS17 and SLiver07 datasets
The LiTS17 and SLiver07 datasets are used for training and testing the proposed SAR-U-Net method. -
Automatic detection and diagnosis of sacroiliitis in CT scans as incidental f...
A new automatic algorithm for the diagnosis and grading of sacroiliitis in CT scans as incidental findings, for patients who underwent lower back or abdomen CT scanning as part... -
LUNA dataset
The LUNA dataset is a public benchmark widely used for direct comparison between various methods proposed in the literature. -
Patient Data
A dataset of patient data for evaluating the performance of the proposed method. -
Phantom Data
The dataset is used to test the performance of the machine learning model for strain estimation and frame selection in ultrasound elastography. -
AAA Dataset
A dataset of pre-operative 3D CT scans and corresponding intra-operative 2D fluoroscopic images of AAA. -
Automated age-related macular degeneration area estimation – first results
The dataset is used for automatic method for detecting Age-related Macular Degeneration (AMD) lesions in RGB eye fundus images. -
BACH 2018 grand challenge
Breast cancer histology images classification using transfer learning -
Hand-drawn Symbol Recognition of Surgical Flowsheet Graphs with Deep Image Se...
The dataset used in this paper for hand-drawn symbol recognition of surgical flowsheet graphs with deep image segmentation.
